diff --git a/CHANGELOG.en.md b/CHANGELOG.en.md
index 9c627c8..0ac3b0a 100644
--- a/CHANGELOG.en.md
+++ b/CHANGELOG.en.md
@@ -8,6 +8,14 @@
 - added multiline batch submission to the web UI and API
 - added multiline batch processing to the desktop window
 
+### MiMo Transcription Engine
+
+- added Xiaomi MiMo (`mimo-v2.5-asr`) as a cloud engine, using OpenAI-compatible chat completions with `input_audio`
+- long audio is split into 60s chunks and transcribed concurrently; added `--workers` and the `mimo.workers` config key (default 4)
+- chunks retry with backoff so a single rate-limit response cannot discard a long job
+- successful chunks are cached under `.b2t/cache/mimo/` keyed by audio content, so a re-run after an interruption only transcribes what is missing
+- fixed a crash when indexing local-file transcriptions whose `download` metadata is `None`
+
 ## 2026-04-10 (v0.3.0)
 
 ### Version Cleanup
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 169ead0..01e9acb 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,6 +8,14 @@
 - Web/API 支持多行输入与批量任务提交
 - 桌面窗口支持在输入框中粘贴多行来源并逐条处理
 
+### MiMo 转写引擎
+
+- 新增小米 MiMo（`mimo-v2.5-asr`）云端引擎，走 OpenAI 兼容的 chat completions + `input_audio` 协议
+- 长音频按 60 秒切片并发转写，新增 `--workers` 与配置项 `mimo.workers`（默认 4）
+- 切片失败自动退避重试，避免单次限流让整个长任务作废
+- 转写成功的切片按音频内容哈希缓存到 `.b2t/cache/mimo/`，中断后重跑只补缺失部分
+- 修复本地文件转写时 `download` 元数据为 `None` 导致的入库报错
+
 ## 2026-04-10 (v0.3.0)
 
 ### 版本整理
diff --git a/README.en.md b/README.en.md
index 1ffa5f5..5b11bfc 100644
--- a/README.en.md
+++ b/README.en.md
@@ -31,6 +31,7 @@ There's also a simple web UI and a desktop window for anyone who'd rather not us
 | **Whisper** | Local model | OpenAI's open-source speech recognition model. Runs offline, general-purpose |
 | **SenseVoice** | Local model | ONNX-based local model with strong Chinese recognition |
 | **Volcengine** | Cloud API | ByteDance's commercial ASR service, good for batch or service-oriented workloads |
+| **MiMo** | Cloud API | Xiaomi MiMo ASR (`mimo-v2.5-asr`) over an OpenAI-compatible API; long audio is chunked and transcribed in parallel |
 
 ## Quick Start
 
@@ -50,7 +51,7 @@ This only installs core dependencies. Transcription engines and extra features a
 uv sync --extra whisper --extra web
 ```
 
-Available extras: `whisper`, `sensevoice`, `volcengine`, `web`, `server`.
+Available extras: `whisper`, `sensevoice`, `volcengine`, `mimo`, `web`, `server`.
 
 ### Set Up
 
@@ -92,6 +93,23 @@ Or put one BV, URL, or local file path per line:
 uv run bili2text batch --file sources.txt
 ```
 
+### MiMo cloud transcription
+
+MiMo uses an OpenAI-compatible API, so install the extra and configure a key first:
+
+```bash
+uv sync --extra mimo
+uv run bili2text bootstrap   # pick mimo, paste the API key
+```
+
+Long audio is split into 60-second chunks and transcribed concurrently. `--workers` sets the concurrency (default 4):
+
+```bash
+uv run bili2text tx "BV1kfDTBXEfu" --provider mimo --workers 6
+```
+
+Pushing concurrency too high gets you rate-limited (HTTP 429). Individual chunks retry with backoff, and successful chunks are cached under `.b2t/cache/mimo/` keyed by audio content — so re-running an interrupted job **only pays for what is missing**.
+
 ## Commands
 
 | Command | Alias | What it does |
diff --git a/README.md b/README.md
index 5b17613..d932ddb 100644
--- a/README.md
+++ b/README.md
@@ -36,6 +36,7 @@
 | **Whisper** | 本地模型 | OpenAI 开源的语音识别模型，离线运行，通用性强 |
 | **SenseVoice** | 本地模型 | 阿里云开源本地语音识别模型，中文识别效果好 |
 | **火山引擎** | 云端 API | 字节跳动旗下的商用语音识别服务，识别很准很推荐 |
+| **MiMo** | 云端 API | 小米 MiMo 语音识别（`mimo-v2.5-asr`），OpenAI 兼容协议，长音频自动切片并发转写 |
 
 ## 快速开始
 
@@ -57,7 +58,7 @@ uv sync
 uv sync --extra whisper --extra web
 ```
 
-可选的 extras：`whisper`、`sensevoice`、`volcengine`、`web`、`server`。可以暂时不用安装，详看下方的初始化文档。
+可选的 extras：`whisper`、`sensevoice`、`volcengine`、`mimo`、`web`、`server`。可以暂时不用安装，详看下方的初始化文档。
 
 ### 初始化配置
 
@@ -99,6 +100,23 @@ uv run bili2text batch "BV1kfDTBXEfu" "https://www.bilibili.com/video/BV1xx411c7
 uv run bili2text batch --file sources.txt
 ```
 
+### MiMo 云端转写
+
+MiMo 走的是 OpenAI 兼容协议，需要先装 extra 并配好 API Key：
+
+```bash
+uv sync --extra mimo
+uv run bili2text bootstrap   # 选 mimo，填 API Key
+```
+
+长音频会自动按 60 秒切片并发转写，`--workers` 控制并发数（默认 4）：
+
+```bash
+uv run bili2text tx "BV1kfDTBXEfu" --provider mimo --workers 6
+```
+
+并发调太高会被服务端限流（HTTP 429）。单个切片失败会自动退避重试；转写成功的切片按内容哈希缓存在 `.b2t/cache/mimo/`，所以任务中断后**原样重跑只会补缺失的部分**，不会重复计费。
+
 ## 命令一览
 
 | 命令 | 缩写 | 说明 |
diff --git a/pyproject.toml b/pyproject.toml
index da06da5..be68b0c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,6 +30,9 @@ sensevoice = [
 volcengine = [
   "requests>=2.32.3",
 ]
+mimo = [
+  "openai>=1.40.0",
+]
 web = [
   "fastapi>=0.115.12",
   "jinja2>=3.1.6",
diff --git a/src/b2t/bootstrap.py b/src/b2t/bootstrap.py
index 0951496..3a186f3 100644
--- a/src/b2t/bootstrap.py
+++ b/src/b2t/bootstrap.py
@@ -164,6 +164,11 @@ def run_bootstrap(*, settings: Settings, interactive: bool = True) -> AppConfig:
             "value": "volcengine",
             "enabled": "volcengine" in config.enabled_providers,
         },
+        {
+            "name": f"mimo       — {tr(lang, 'provider_mimo_short')}",
+            "value": "mimo",
+            "enabled": "mimo" in config.enabled_providers,
+        },
     ]
     selected_providers: list[str] = inquirer.checkbox(
         message=tr(lang, "bootstrap_providers_prompt"),
@@ -212,6 +217,8 @@ def run_bootstrap(*, settings: Settings, interactive: bool = True) -> AppConfig:
             _configure_sensevoice(config, lang)
         elif provider == "volcengine":
             _configure_volcengine(config, lang)
+        elif provider == "mimo":
+            _configure_mimo(config, lang)
 
     # ── 5. Pick default provider ─────────────────────────────
     console.print()
@@ -324,6 +331,25 @@ def _configure_volcengine(config: AppConfig, lang: str) -> None:
     ).execute()
 
 
+def _configure_mimo(config: AppConfig, lang: str) -> None:
+    config.mimo.api_key = inquirer.secret(
+        message=tr(lang, "bootstrap_mimo_api_key_prompt"),
+        default=config.mimo.api_key,
+    ).execute().strip()
+    config.mimo.base_url = inquirer.text(
+        message=tr(lang, "bootstrap_mimo_base_url_prompt"),
+        default=config.mimo.base_url,
+    ).execute().strip()
+    config.mimo.model_name = inquirer.text(
+        message=tr(lang, "bootstrap_mimo_model_prompt"),
+        default=config.mimo.model_name,
+    ).execute().strip()
+    config.mimo.language = inquirer.text(
+        message=tr(lang, "bootstrap_mimo_language_prompt"),
+        default=config.mimo.language,
+    ).execute().strip()
+
+
 def _show_next_steps(
     *,
     console: Console,
diff --git a/src/b2t/cli.py b/src/b2t/cli.py
index ba7fc42..10026a7 100644
--- a/src/b2t/cli.py
+++ b/src/b2t/cli.py
@@ -49,10 +49,14 @@ def transcribe(
         prompt: str = typer.Option("", "--prompt", help=tr(language, "opt_prompt_help")),
         output: Path | None = typer.Option(None, "--output", help=tr(language, "opt_output_help")),
         workspace: Path | None = typer.Option(None, "--workspace", help=tr(language, "opt_workspace_help")),
+        workers: int | None = typer.Option(None, "--workers", help=tr(language, "opt_workers_help")),
     ) -> None:
         """Download or open media, then transcribe it with the selected provider."""
         try:
             settings, config = _load_runtime(workspace=workspace, provider=provider, model=model)
+            if workers is not None:
+                # only MiMo splits audio into chunks and runs them in parallel today
+                config.mimo.workers = max(1, workers)
             renderer = TqdmTaskRenderer(config.language)
             service = _build_task_service(
                 settings=settings,
diff --git a/src/b2t/config.py b/src/b2t/config.py
index b31d953..3d8bf99 100644
--- a/src/b2t/config.py
+++ b/src/b2t/config.py
@@ -18,6 +18,7 @@ class Settings:
     transcripts_edited_dir: Path
     metadata_dir: Path
     tasks_dir: Path
+    cache_dir: Path
     config_path: Path
     app_db_path: Path
 
@@ -33,6 +34,7 @@ def from_workspace(cls, workspace: Path | None = None) -> "Settings":
             transcripts_edited_dir=root / "transcripts" / "edited",
             metadata_dir=root / "metadata",
             tasks_dir=root / "tasks",
+            cache_dir=root / "cache",
             config_path=root / "config.json",
             app_db_path=root / "app.db",
         )
@@ -47,5 +49,6 @@ def ensure_directories(self) -> None:
             self.transcripts_edited_dir,
             self.metadata_dir,
             self.tasks_dir,
+            self.cache_dir,
         ):
             directory.mkdir(parents=True, exist_ok=True)
diff --git a/src/b2t/factory.py b/src/b2t/factory.py
index 3b212a0..02239c5 100644
--- a/src/b2t/factory.py
+++ b/src/b2t/factory.py
@@ -43,6 +43,20 @@ def build_pipeline(
             model_name=selected_model or config.volcengine.model_name,
             use_itn=config.volcengine.use_itn,
         )
+    elif selected_provider == "mimo":
+        from b2t.transcribers.mimo import MimoTranscriber
+
+        # selected_model may carry whisper's default ("small"); only honor it when it
+        # actually looks like a MiMo model id.
+        chosen_model = selected_model if selected_model.startswith("mimo") else config.mimo.model_name
+        transcriber = MimoTranscriber(
+            api_key=config.mimo.api_key,
+            base_url=config.mimo.base_url,
+            model_name=chosen_model or "mimo-v2.5-asr",
+            language=config.mimo.language,
+            workers=config.mimo.workers,
+            cache_dir=settings.cache_dir,
+        )
     else:
         raise RuntimeError(f"Unsupported provider: {selected_provider}")
 
diff --git a/src/b2t/i18n.py b/src/b2t/i18n.py
index d580ac7..3b7528f 100644
--- a/src/b2t/i18n.py
+++ b/src/b2t/i18n.py
@@ -25,11 +25,12 @@
         "cmd_language_help": "切换界面语言（缩写: lang）。",
         "arg_source_help": "BV 号、Bilibili 链接或本地文件路径。",
         "arg_sources_help": "一条或多条输入；也可以用 --file 读取每行一个输入。",
-        "opt_provider_help": "转写引擎: whisper / sensevoice / volcengine。",
+        "opt_provider_help": "转写引擎: whisper / sensevoice / volcengine / mimo。",
         "opt_model_help": "模型名称。",
         "opt_prompt_help": "转写提示词（可选）。",
         "opt_output_help": "输出文件或目录。",
         "opt_workspace_help": "工作目录，默认 ./.b2t。",
+        "opt_workers_help": "MiMo 分片并发数，默认读配置（4）。调高更快，太高会被服务端限流。",
         "opt_host_help": "监听地址。",
         "opt_port_help": "监听端口。",
         "opt_language_help": "语言代码，如 zh-CN、en-US。",
@@ -79,6 +80,10 @@
         "bootstrap_volc_resource_prompt": "火山引擎 Resource ID",
         "bootstrap_volc_model_prompt": "火山引擎模型名称",
         "bootstrap_volc_itn_prompt": "启用逆文本正则化",
+        "bootstrap_mimo_api_key_prompt": "小米 MiMo API Key（Token Plan）",
+        "bootstrap_mimo_base_url_prompt": "小米 MiMo Base URL",
+        "bootstrap_mimo_model_prompt": "小米 MiMo 模型名称",
+        "bootstrap_mimo_language_prompt": "识别语言（如 zh、en，留空表示自动）",
         "bootstrap_saved": "配置已保存到 {path}",
         "bootstrap_auto_start": "还没有配置文件，来走一下初始化向导吧……",
         "bootstrap_finish": "搞定！随时可以用 `bili2text bootstrap` 重新配置，或 `bili2text lang <代码>` 切换语言。",
@@ -113,6 +118,7 @@
         "provider_whisper_short": "本地离线，不依赖云服务",
         "provider_sensevoice_short": "本地 ONNX 模型，中文效果好",
         "provider_volcengine_short": "火山引擎云端识别，需要凭据",
+        "provider_mimo_short": "小米 MiMo 云端 ASR，OpenAI 兼容协议",
         "feature_web_short": "浏览器界面，在网页上操作",
         "feature_server_short": "服务模式，适合 Docker / 局域网部署",
         "feature_window_short": "简单的桌面窗口",
@@ -123,6 +129,8 @@
         "provider_sensevoice_desc": "基于 ONNX 的本地模型，中文识别效果不错。需要模型文件和对应依赖。",
         "provider_volcengine_name": "火山引擎云端识别",
         "provider_volcengine_desc": "商用云端语音识别，适合服务化部署。需要配置火山引擎凭据。",
+        "provider_mimo_name": "小米 MiMo（云端）",
+        "provider_mimo_desc": "小米 MiMo 云端语音识别（mimo-v2.5-asr），走 OpenAI chat completions + input_audio 协议。长音频自动切片并发转写。需要配置 API Key。",
 
         # ── Language ─────────────────────────────────────────
         "language_updated": "语言已切换为: {language}",
@@ -215,11 +223,12 @@
         "cmd_language_help": "Switch the interface language (alias: lang).",
         "arg_source_help": "BV id, Bilibili URL, or a local media file.",
         "arg_sources_help": "One or more inputs; use --file to read one input per line.",
-        "opt_provider_help": "Transcription engine: whisper / sensevoice / volcengine.",
+        "opt_provider_help": "Transcription engine: whisper / sensevoice / volcengine / mimo.",
         "opt_model_help": "Model name.",
         "opt_prompt_help": "Optional transcription prompt.",
         "opt_output_help": "Output file or directory.",
         "opt_workspace_help": "Workspace root, defaults to ./.b2t.",
+        "opt_workers_help": "MiMo chunk concurrency; defaults to config (4). Higher is faster until the API rate-limits you.",
         "opt_host_help": "Bind address.",
         "opt_port_help": "Bind port.",
         "opt_language_help": "Language code, e.g. zh-CN or en-US.",
@@ -269,6 +278,10 @@
         "bootstrap_volc_resource_prompt": "Volcengine resource ID",
         "bootstrap_volc_model_prompt": "Volcengine model name",
         "bootstrap_volc_itn_prompt": "Turn on inverse text normalization",
+        "bootstrap_mimo_api_key_prompt": "Xiaomi MiMo API key (Token Plan)",
+        "bootstrap_mimo_base_url_prompt": "MiMo base URL",
+        "bootstrap_mimo_model_prompt": "MiMo model name",
+        "bootstrap_mimo_language_prompt": "Recognition language (e.g. zh, en — leave blank for auto)",
         "bootstrap_saved": "Config saved to {path}",
         "bootstrap_auto_start": "No config file found — let's get you set up...",
         "bootstrap_finish": "You're all set! Run `bili2text bootstrap` anytime to reconfigure, or `bili2text lang <code>` to switch languages.",
@@ -303,6 +316,7 @@
         "provider_whisper_short": "Runs locally, no cloud needed",
         "provider_sensevoice_short": "Local ONNX model, great for Chinese",
         "provider_volcengine_short": "Volcengine cloud ASR, needs credentials",
+        "provider_mimo_short": "Xiaomi MiMo cloud ASR, OpenAI-compatible",
         "feature_web_short": "Web interface — use in your browser",
         "feature_server_short": "Server mode for Docker / LAN",
         "feature_window_short": "Simple desktop window",
@@ -313,6 +327,8 @@
         "provider_sensevoice_desc": "ONNX-based local model with strong Chinese recognition. Needs the model files and dependencies.",
         "provider_volcengine_name": "Volcengine (cloud)",
         "provider_volcengine_desc": "Commercial cloud-based speech recognition. Good for service deployments. Requires Volcengine credentials.",
+        "provider_mimo_name": "Xiaomi MiMo (cloud)",
+        "provider_mimo_desc": "Xiaomi MiMo cloud ASR (mimo-v2.5-asr) over OpenAI chat completions with input_audio. Long audio is chunked and transcribed in parallel. Requires an API key.",
 
         # ── Language ─────────────────────────────────────────
         "language_updated": "Language switched to: {language}",
diff --git a/src/b2t/library.py b/src/b2t/library.py
index 29b6291..b59dfe0 100644
--- a/src/b2t/library.py
+++ b/src/b2t/library.py
@@ -31,7 +31,7 @@ def register_transcript_result(self, result: TranscriptResult) -> int:
             source_input=result.source.raw_input,
             source_url=result.source.url,
             source_bv=result.source.bv,
-            title=result.metadata.get("download", {}).get("title") or result.source.display_name,
+            title=(result.metadata.get("download") or {}).get("title") or result.source.display_name,
             display_name=result.source.display_name,
             language=result.metadata.get("language"),
             engine=result.engine,
diff --git a/src/b2t/transcribers/__init__.py b/src/b2t/transcribers/__init__.py
index 8d88fa1..85132b3 100644
--- a/src/b2t/transcribers/__init__.py
+++ b/src/b2t/transcribers/__init__.py
@@ -1,4 +1,5 @@
 from b2t.transcribers.base import Transcriber
+from b2t.transcribers.mimo import MimoTranscriber
 from b2t.transcribers.sensevoice_local import SenseVoiceSmallTranscriber
 from b2t.transcribers.volcengine import VolcengineFlashTranscriber
 from b2t.transcribers.whisper_local import LocalWhisperTranscriber
@@ -6,6 +7,7 @@
 __all__ = [
     "Transcriber",
     "LocalWhisperTranscriber",
+    "MimoTranscriber",
     "SenseVoiceSmallTranscriber",
     "VolcengineFlashTranscriber",
 ]
diff --git a/src/b2t/transcribers/mimo.py b/src/b2t/transcribers/mimo.py
new file mode 100644
index 0000000..fffd34a
--- /dev/null
+++ b/src/b2t/transcribers/mimo.py
@@ -0,0 +1,295 @@
+from __future__ import annotations
+
+import base64
+import hashlib
+import shutil
+import subprocess
+import time
+from concurrent.futures import ThreadPoolExecutor
+from pathlib import Path
+from typing import Any
+
+from b2t.i18n import dependency_sync_guidance
+from b2t.transcribers.base import Transcriber
+
+_DEFAULT_INSTRUCTION = (
+    "请把音频里的语音内容逐字转写为文本，只输出转写文本本身，"
+    "不要加任何说明、标题、注释或解释。如果音频里没有清晰人声，输出空字符串。"
+)
+
+
+class MimoTranscriber(Transcriber):
+    name = "mimo"
+
+    def __init__(
+        self,
+        *,
+        api_key: str = "",
+        base_url: str = "https://api.xiaomimimo.com/v1",
+        model_name: str = "mimo-v2.5-asr",
+        language: str = "",
+        chunk_seconds: int = 60,
+        workers: int = 4,
+        max_retries: int = 6,
+        cache_dir: Path | None = None,
+        max_tokens: int = 4096,
+        timeout: float = 300.0,
+    ) -> None:
+        self.api_key = api_key.strip()
+        self.base_url = base_url.strip().rstrip("/")
+        self.model_name = model_name.strip()
+        self.language = language.strip()
+        self.chunk_seconds = max(0, int(chunk_seconds))
+        self.workers = max(1, int(workers))
+        self.max_retries = max(1, int(max_retries))
+        self.cache_dir = Path(cache_dir) / "mimo" if cache_dir else None
+        self.max_tokens = max_tokens
+        self.timeout = timeout
+
+    def transcribe(
+        self,
+        audio_path: Path,
+        *,
+        prompt: str | None = None,
+        progress=None,
+    ) -> dict[str, Any]:
+        if progress is not None:
+            progress.running("transcribing", message="transcribing", indeterminate=True)
+
+        if not self.api_key:
+            raise RuntimeError("MiMo provider requires an API key. Run `bili2text bootstrap` first.")
+
+        try:
+            from openai import OpenAI
+        except ImportError as exc:
+            raise RuntimeError(
+                "MiMo support is not installed. "
+                f"{dependency_sync_guidance('en-US')}"
+            ) from exc
+
+        client = OpenAI(api_key=self.api_key, base_url=self.base_url, timeout=self.timeout)
+        instruction = self._build_instruction(prompt)
+        chunks = self._prepare_chunks(audio_path)
+
+        total = len(chunks)
+        done = 0
+
+        def work(item: tuple[int, tuple[int, Path]]) -> tuple[int, int, str]:
+            nonlocal done
+            idx, (start_sec, chunk_path) = item
+            text = self._transcribe_chunk(client, chunk_path, instruction)
+            done += 1
+            if progress is not None:
+                progress.running(
+                    "transcribing",
+                    message=f"transcribing {done}/{total}",
+                    indeterminate=True,
+                )
+            return idx, start_sec, text
+
+        try:
+            with ThreadPoolExecutor(max_workers=min(self.workers, total or 1)) as pool:
+                results = sorted(pool.map(work, enumerate(chunks)))
+        finally:
+            self._cleanup_chunks(chunks, original=audio_path)
+
+        all_text: list[str] = []
+        segments: list[dict[str, Any]] = []
+        for idx, start_sec, text in results:
+            if text:
+                all_text.append(text)
+            segments.append(
+                {
+                    "id": idx,
+                    "start": float(start_sec),
+                    "end": float(start_sec) + float(self.chunk_seconds or 0),
+                    "text": text,
+                }
+            )
+
+        return {
+            "text": "\n".join(all_text).strip(),
+            "segments": segments,
+            "language": self.language or None,
+            "model": self.model_name,
+            "raw_response": None,
+        }
+
+    def _build_instruction(self, user_prompt: str | None) -> str:
+        parts = [_DEFAULT_INSTRUCTION]
+        if self.language:
+            parts.append(f"音频语言提示: {self.language}.")
+        if user_prompt:
+            parts.append(user_prompt.strip())
+        return "\n".join(parts)
+
+    def _prepare_chunks(self, audio_path: Path) -> list[tuple[int, Path]]:
+        if self.chunk_seconds <= 0 or not shutil.which("ffmpeg"):
+            return [(0, audio_path)]
+
+        duration = self._probe_duration(audio_path)
+        if duration is None or duration <= self.chunk_seconds:
+            return [(0, audio_path)]
+
+        chunks_dir = audio_path.parent / f".{audio_path.stem}.mimo_chunks"
+        chunks_dir.mkdir(parents=True, exist_ok=True)
+        chunks: list[tuple[int, Path]] = []
+        start = 0
+        idx = 0
+        while start < duration:
+            chunk_path = chunks_dir / f"{idx:04d}.wav"
+            command = [
+                "ffmpeg",
+                "-y",
+                "-loglevel",
+                "error",
+                "-ss",
+                str(start),
+                "-t",
+                str(self.chunk_seconds),
+                "-i",
+                str(audio_path),
+                "-ar",
+                "16000",
+                "-ac",
+                "1",
+                "-c:a",
+                "pcm_s16le",
+                str(chunk_path),
+            ]
+            result = subprocess.run(command, capture_output=True, text=True)
+            if result.returncode != 0 or not chunk_path.exists() or chunk_path.stat().st_size == 0:
+                self._cleanup_chunks(chunks, original=audio_path)
+                if chunk_path.exists():
+                    chunk_path.unlink(missing_ok=True)
+                try:
+                    chunks_dir.rmdir()
+                except OSError:
+                    pass
+                raise RuntimeError(
+                    f"ffmpeg failed to split audio for MiMo: {result.stderr.strip() or 'unknown error'}"
+                )
+            chunks.append((start, chunk_path))
+            start += self.chunk_seconds
+            idx += 1
+        return chunks
+
+    def _probe_duration(self, audio_path: Path) -> float | None:
+        if not shutil.which("ffprobe"):
+            return None
+        try:
+            result = subprocess.run(
+                [
+                    "ffprobe",
+                    "-v",
+                    "error",
+                    "-show_entries",
+                    "format=duration",
+                    "-of",
+                    "default=noprint_wrappers=1:nokey=1",
+                    str(audio_path),
+                ],
+                check=True,
+                capture_output=True,
+                text=True,
+            )
+        except (subprocess.CalledProcessError, FileNotFoundError):
+            return None
+        try:
+            return float(result.stdout.strip())
+        except ValueError:
+            return None
+
+    def _cleanup_chunks(self, chunks: list[tuple[int, Path]], *, original: Path) -> None:
+        chunks_dir: Path | None = None
+        for _, chunk_path in chunks:
+            if chunk_path == original:
+                continue
+            try:
+                chunk_path.unlink(missing_ok=True)
+            except OSError:
+                pass
+            chunks_dir = chunk_path.parent
+        if chunks_dir is not None:
+            try:
+                chunks_dir.rmdir()
+            except OSError:
+                pass
+
+    def _cache_path(self, audio_bytes: bytes) -> Path | None:
+        """Cache key = chunk audio content + model + language.
+
+        Content-addressed on purpose: a re-run re-splits the audio into byte-identical
+        chunks, so a resumed task hits the cache regardless of file names or which chunk
+        index it landed on. Changing model or language misses, as it should.
+        """
+        if self.cache_dir is None:
+            return None
+        digest = hashlib.sha256(audio_bytes)
+        digest.update(f"|{self.model_name}|{self.language}".encode("utf-8"))
+        return self.cache_dir / f"{digest.hexdigest()}.txt"
+
+    def _transcribe_chunk(self, client, chunk_path: Path, instruction: str) -> str:
+        audio_bytes = chunk_path.read_bytes()
+
+        cache_path = self._cache_path(audio_bytes)
+        if cache_path is not None and cache_path.exists():
+            try:
+                return cache_path.read_text(encoding="utf-8")
+            except OSError:
+                pass  # unreadable cache entry is not fatal, just re-transcribe
+
+        audio_b64 = base64.b64encode(audio_bytes).decode("ascii")
+        fmt = chunk_path.suffix.lstrip(".").lower() or "wav"
+        mime = "audio/wav" if fmt == "wav" else "audio/mpeg" if fmt in ("mp3", "mpeg") else f"audio/{fmt}"
+        data_uri = f"data:{mime};base64,{audio_b64}"
+        # mimo-v2.5-asr: 音频走 input_audio.data 的 data-URI 格式，语言经 asr_options 指定，
+        # ASR 模型不需要 text instruction（参数保留以兼容调用方签名）。
+        # 并发跑满时服务端会回 429，逐次退避重试，别让整条任务因为一片挂掉。
+        last_error: Exception | None = None
+        for attempt in range(self.max_retries):
+            try:
+                response = client.chat.completions.create(
+                    model=self.model_name,
+                    messages=[
+                        {
+                            "role": "user",
+                            "content": [
+                                {"type": "input_audio", "input_audio": {"data": data_uri}},
+                            ],
+                        }
+                    ],
+                    extra_body={"asr_options": {"language": self.language or "auto"}},
+                )
+            except Exception as exc:  # noqa: BLE001 - retry on any transport/rate-limit error
+                last_error = exc
+                if attempt < self.max_retries - 1:
+                    time.sleep(5 * (attempt + 1))
+                continue
+
+            if not getattr(response, "choices", None):
+                return ""
+            message = response.choices[0].message
+            if message is None:
+                return ""
+            text = (getattr(message, "content", None) or "").strip()
+            self._store_cache(cache_path, text)
+            return text
+
+        raise RuntimeError(f"MiMo transcription failed for {chunk_path.name}: {last_error}")
+
+    def _store_cache(self, cache_path: Path | None, text: str) -> None:
+        """Persist a finished chunk so a later re-run skips the API call.
+
+        Write to a temp file then rename, so an interrupted run can never leave a
+        half-written entry that a resume would happily trust.
+        """
+        if cache_path is None:
+            return
+        try:
+            cache_path.parent.mkdir(parents=True, exist_ok=True)
+            tmp_path = cache_path.with_suffix(".partial")
+            tmp_path.write_text(text, encoding="utf-8")
+            tmp_path.replace(cache_path)
+        except OSError:
+            pass  # caching is an optimization; never fail the transcription over it
diff --git a/src/b2t/user_config.py b/src/b2t/user_config.py
index 3cd5012..7479791 100644
--- a/src/b2t/user_config.py
+++ b/src/b2t/user_config.py
@@ -6,7 +6,7 @@
 from b2t.config import Settings
 from b2t.i18n import DEFAULT_LANGUAGE, normalize_language
 
-ALL_PROVIDERS = ("whisper", "sensevoice", "volcengine")
+ALL_PROVIDERS = ("whisper", "sensevoice", "volcengine", "mimo")
 ALL_FEATURES = ("web", "server", "window")
 
 
@@ -27,6 +27,15 @@ class VolcengineConfig:
     use_itn: bool = True
 
 
+@dataclass(slots=True)
+class MimoConfig:
+    api_key: str = ""
+    base_url: str = "https://api.xiaomimimo.com/v1"
+    model_name: str = "mimo-v2.5-asr"
+    language: str = "zh"
+    workers: int = 4
+
+
 @dataclass(slots=True)
 class AppConfig:
     language: str = DEFAULT_LANGUAGE
@@ -36,6 +45,7 @@ class AppConfig:
     default_model: str = "small"
     sensevoice: SenseVoiceConfig = field(default_factory=SenseVoiceConfig)
     volcengine: VolcengineConfig = field(default_factory=VolcengineConfig)
+    mimo: MimoConfig = field(default_factory=MimoConfig)
 
     @classmethod
     def load(cls, settings: Settings) -> "AppConfig":
@@ -56,6 +66,7 @@ def load(cls, settings: Settings) -> "AppConfig":
             default_model=data.get("default_model", "small"),
             sensevoice=SenseVoiceConfig(**data.get("sensevoice", {})),
             volcengine=VolcengineConfig(**data.get("volcengine", {})),
+            mimo=MimoConfig(**data.get("mimo", {})),
         )
 
     def save(self, settings: Settings) -> None:
diff --git a/tests/test_mimo.py b/tests/test_mimo.py
new file mode 100644
index 0000000..4e45a92
--- /dev/null
+++ b/tests/test_mimo.py
@@ -0,0 +1,115 @@
+from pathlib import Path
+
+import pytest
+
+from b2t.transcribers.mimo import MimoTranscriber
+
+
+class _FakeMessage:
+    def __init__(self, content: str) -> None:
+        self.content = content
+
+
+class _FakeChoice:
+    def __init__(self, content: str) -> None:
+        self.message = _FakeMessage(content)
+
+
+class _FakeResponse:
+    def __init__(self, content: str) -> None:
+        self.choices = [_FakeChoice(content)]
+
+
+class _FakeCompletions:
+    """Counts calls so tests can prove the cache actually skipped the API."""
+
+    def __init__(self, reply: str = "转写结果", fail_times: int = 0) -> None:
+        self.reply = reply
+        self.fail_times = fail_times
+        self.calls = 0
+
+    def create(self, **_kwargs):
+        self.calls += 1
+        if self.calls <= self.fail_times:
+            raise RuntimeError("429 Too many requests")
+        return _FakeResponse(self.reply)
+
+
+class _FakeClient:
+    def __init__(self, completions: _FakeCompletions) -> None:
+        self.chat = type("_Chat", (), {"completions": completions})()
+
+
+@pytest.fixture(autouse=True)
+def _no_backoff_sleep(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Retry backoff is real seconds in production; tests should not pay for it."""
+    monkeypatch.setattr("b2t.transcribers.mimo.time.sleep", lambda _seconds: None)
+
+
+def _chunk(tmp_path: Path, name: str = "0000.wav", data: bytes = b"RIFFfake-audio") -> Path:
+    path = tmp_path / name
+    path.write_bytes(data)
+    return path
+
+
+def test_chunk_result_is_cached_and_reused(tmp_path: Path) -> None:
+    cache_root = tmp_path / "cache"
+    transcriber = MimoTranscriber(api_key="k", cache_dir=cache_root)
+    completions = _FakeCompletions(reply="第一片")
+    client = _FakeClient(completions)
+    chunk = _chunk(tmp_path)
+
+    first = transcriber._transcribe_chunk(client, chunk, "")
+    second = transcriber._transcribe_chunk(client, chunk, "")
+
+    assert first == second == "第一片"
+    assert completions.calls == 1, "second call should have been served from cache"
+
+
+def test_cache_is_keyed_by_model_and_language(tmp_path: Path) -> None:
+    cache_root = tmp_path / "cache"
+    chunk = _chunk(tmp_path)
+
+    zh = MimoTranscriber(api_key="k", cache_dir=cache_root, language="zh")
+    en = MimoTranscriber(api_key="k", cache_dir=cache_root, language="en")
+    zh._transcribe_chunk(_FakeClient(_FakeCompletions(reply="中文")), chunk, "")
+
+    completions = _FakeCompletions(reply="english")
+    assert en._transcribe_chunk(_FakeClient(completions), chunk, "") == "english"
+    assert completions.calls == 1, "a different language must not reuse the zh entry"
+
+
+def test_no_cache_dir_means_no_caching(tmp_path: Path) -> None:
+    transcriber = MimoTranscriber(api_key="k", cache_dir=None)
+    completions = _FakeCompletions()
+    client = _FakeClient(completions)
+    chunk = _chunk(tmp_path)
+
+    transcriber._transcribe_chunk(client, chunk, "")
+    transcriber._transcribe_chunk(client, chunk, "")
+
+    assert completions.calls == 2
+
+
+def test_transient_failure_is_retried_then_cached(tmp_path: Path) -> None:
+    transcriber = MimoTranscriber(api_key="k", cache_dir=tmp_path / "cache", max_retries=3)
+    completions = _FakeCompletions(reply="补上了", fail_times=2)
+    client = _FakeClient(completions)
+    chunk = _chunk(tmp_path)
+
+    assert transcriber._transcribe_chunk(client, chunk, "") == "补上了"
+    assert completions.calls == 3
+
+    # the successful result is cached, so a resume does not pay for the retries again
+    assert transcriber._transcribe_chunk(client, chunk, "") == "补上了"
+    assert completions.calls == 3
+
+
+def test_exhausted_retries_raise(tmp_path: Path) -> None:
+    transcriber = MimoTranscriber(api_key="k", cache_dir=tmp_path / "cache", max_retries=2)
+    completions = _FakeCompletions(fail_times=99)
+    client = _FakeClient(completions)
+    chunk = _chunk(tmp_path)
+
+    with pytest.raises(RuntimeError, match="MiMo transcription failed"):
+        transcriber._transcribe_chunk(client, chunk, "")
diff --git a/uv.lock b/uv.lock
index e8cc518..68f1669 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 1
+revision = 3
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version >= '3.12' and platform_machine != 's390x'",
@@ -14,18 +14,18 @@ resolution-markers = [
 name = "annotated-doc"
 version = "0.0.4"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288 }
+sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303 },
+    { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
 ]
 
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
 ]
 
 [[package]]
@@ -37,18 +37,18 @@ dependencies = [
     { name = "idna" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622 }
+sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353 },
+    { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
 ]
 
 [[package]]
 name = "audioread"
 version = "3.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a1/4a/874ecf9b472f998130c2b5e145dcdb9f6131e84786111489103b66772143/audioread-3.1.0.tar.gz", hash = "sha256:1c4ab2f2972764c896a8ac61ac53e261c8d29f0c6ccd652f84e18f08a4cab190", size = 20082 }
+sdist = { url = "https://files.pythonhosted.org/packages/a1/4a/874ecf9b472f998130c2b5e145dcdb9f6131e84786111489103b66772143/audioread-3.1.0.tar.gz", hash = "sha256:1c4ab2f2972764c896a8ac61ac53e261c8d29f0c6ccd652f84e18f08a4cab190", size = 20082, upload-time = "2025-10-26T19:44:13.484Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7e/16/fbe8e1e185a45042f7cd3a282def5bb8d95bb69ab9e9ef6a5368aa17e426/audioread-3.1.0-py3-none-any.whl", hash = "sha256:b30d1df6c5d3de5dcef0fb0e256f6ea17bdcf5f979408df0297d8a408e2971b4", size = 23143 },
+    { url = "https://files.pythonhosted.org/packages/7e/16/fbe8e1e185a45042f7cd3a282def5bb8d95bb69ab9e9ef6a5368aa17e426/audioread-3.1.0-py3-none-any.whl", hash = "sha256:b30d1df6c5d3de5dcef0fb0e256f6ea17bdcf5f979408df0297d8a408e2971b4", size = 23143, upload-time = "2025-10-26T19:44:12.016Z" },
 ]
 
 [[package]]
@@ -64,6 +64,9 @@ dependencies = [
 ]
 
 [package.optional-dependencies]
+mimo = [
+    { name = "openai" },
+]
 sensevoice = [
     { name = "funasr-onnx" },
     { name = "jieba" },
@@ -103,6 +106,7 @@ requires-dist = [
     { name = "jieba", marker = "extra == 'sensevoice'", specifier = ">=0.42.1" },
     { name = "jinja2", marker = "extra == 'server'", specifier = ">=3.1.6" },
     { name = "jinja2", marker = "extra == 'web'", specifier = ">=3.1.6" },
+    { name = "openai", marker = "extra == 'mimo'", specifier = ">=1.40.0" },
     { name = "openai-whisper", marker = "extra == 'whisper'", specifier = ">=20240930" },
     { name = "python-multipart", marker = "extra == 'server'", specifier = ">=0.0.20" },
     { name = "python-multipart", marker = "extra == 'web'", specifier = ">=0.0.20" },
@@ -115,7 +119,7 @@ requires-dist = [
     { name = "uvicorn", marker = "extra == 'web'", specifier = ">=0.34.0" },
     { name = "yt-dlp", specifier = ">=2025.3.31" },
 ]
-provides-extras = ["whisper", "sensevoice", "volcengine", "web", "server", "window"]
+provides-extras = ["whisper", "sensevoice", "volcengine", "mimo", "web", "server", "window"]
 
 [package.metadata.requires-dev]
 dev = [
@@ -127,9 +131,9 @@ dev = [
 name = "certifi"
 version = "2026.2.25"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029 }
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