BofAI · Will-Guan · Aug 27, 2026 · Aug 26, 2026 · Aug 26, 2026 · Aug 27, 2026
diff --git a/docs/llmservice/api/API.md b/docs/llmservice/api/API.md
diff --git a/docs/llmservice/models/glm-5-3-flash.md b/docs/llmservice/models/glm-5-3-flash.md
@@ -0,0 +1,64 @@
+import ActivityCard from '@site/src/components/ActivityCard';
+
+# GLM-5.3-Flash
+
+## Overview
+
+GLM-5.3-Flash is an open-weight, natively multimodal model released by Z.AI on August 26, 2026 as the Flash-tier member of the GLM-5 family. It combines 320 billion total parameters with 18 billion activated parameters, a 1M-token context window, and a hybrid sparse-and-linear-attention architecture for coding, agentic, and visual knowledge-work workloads.
+
+<ActivityCard
+  variant="free"
+  title="GLM-5.3-Flash"
+  status="Free Offer"
+  detail="API Free · Chat on Launch"
+>
+This offer covers B.AI API and Chat:
+
+* **API:** GLM-5.3-Flash API usage is currently billed at `0 Credits`. No input, cache write, cache read, or output token fees apply.
+* **Chat:** Free access begins when GLM-5.3-Flash becomes available in B.AI Chat. The availability time is subject to the actual model listing. Once available, Chat usage is billed at `0 Credits`.
+
+After the offer ends, GLM-5.3-Flash will return to the prices shown on this page.
+</ActivityCard>
+
+## Key Features
+
+* **Efficient Hybrid Architecture**: Uses sparse attention, linear attention, Manifold-Constrained Hyper-Connections (mHC), and IndexPool. Z.AI reports 3.0x lower attention compute and 4.4x smaller KV-cache size than GLM-5.3 in its architecture comparison.
+* **Native Multimodal Understanding**: Accepts text, images, videos, and files, allowing agents to inspect interfaces, rendered outputs, documents, and other visual evidence during a task.
+* **Coding and Agent Evaluation**: Z.AI reports 84.3 on Terminal-Bench 2.1, 63.4 on DeepSWE v1.1, 78.4 on Toolathlon Verified, and 48.8 on AutomationBench v1.0.6.
+* **Configurable Always-On Reasoning**: Supports `low`, `high`, and `max` reasoning effort, with `max` as the default. Thinking cannot be disabled.
+
+## Best Use Cases
+
+* **Visual Software Engineering**: Building and refining frontends, games, 3D scenes, and other interfaces by combining code changes with screenshot or rendered-output inspection.
+* **Long-Horizon Coding Agents**: Repository-scale implementation, debugging, testing, and multi-step automation that require reasoning, function calls, and large working contexts.
+* **Multimodal Professional Workflows**: Extracting and reasoning over documents, charts, dashboards, presentations, spreadsheets, and video before producing structured text or office deliverables through an agent environment.
+* **Cost-Sensitive API Workloads**: High-volume text and multimodal tasks that benefit from low per-token pricing, cached-input discounts, and a 1M-token context window.
+
+## Capabilities and Limitations
+
+| Capability | Description |
+| :--- | :--- |
+| **Reasoning** | Thinking is always enabled. `reasoning_effort` supports `low`, `high`, and `max`; the default is `max`. |
+| **Creative Writing** | Supports general and long-form text generation. |
+| **Coding** | Z.AI reports Terminal-Bench 2.1: 84.3, DeepSWE v1.1: 63.4, NL2Repo: 56.3, Toolathlon Verified: 78.4, and AutomationBench v1.0.6: 48.8. |
+| **Multimodal** | Accepts text, image, video, and file input and produces text output. |
+| **Context Window** | 1,000,000 tokens. |
+| **Max Output** | 131,072 tokens; the default `max_tokens` value is 65,536. |
+| **Tool Use** | Supports function calling, streamed tool calls, context caching, and JSON structured output. ZCode can pair the model with Browser Use and Computer Use for visually grounded agent workflows. |
+| **Multilingual** | The official model repository identifies English and Chinese support. |
+
+### Known Limitations
+
+* `thinking.type` only supports `enabled`; applications that require lighter reasoning should use `reasoning_effort: "low"` rather than disabling thinking.
+
+## Credits Usage
+
+| Model | Input (Credits/Token) | Cache Write (Credits/Token) | Cache Read (Credits/Token) | Output (Credits/Token) | Web Search (Credits/Use) |
+| :--- | --------------------: | --------------------------: | -------------------------: | ---------------------: | -----------------------: |
+| **GLM-5.3-Flash** | `0.075` | `0.075` | `0.015` | `0.25` | `-` |
+
+**Limited-time pricing:** The 50% token-price promotion ends at 24:00 on September 9, 2026 (UTC+8, Singapore time).
+
+:::info Pricing note
+Prices shown in the documentation are B.AI standard reference prices for base billing purposes. B.AI may provide lower actual usage costs through limited-time offers, top-up bonuses, and account benefits. Specific prices, bonus Credits, account benefits, and final billing are subject to the platform display and billing records.
+:::
diff --git a/docs/llmservice/models/qwen3-8-flash.md b/docs/llmservice/models/qwen3-8-flash.md
@@ -0,0 +1,70 @@
+import ActivityCard from '@site/src/components/ActivityCard';
+
+# Qwen3.8-Flash
+
+## Overview
+
+Qwen3.8-Flash is a hosted multimodal model from Alibaba's Qwen team, announced on August 26, 2026. It is the production version based on Qwen3.8-Flash-Next, adding a default 1M-token context window and hosted tools for cost-sensitive coding, agentic, and visual knowledge-work applications.
+
+<ActivityCard
+  variant="free"
+  title="Qwen3.8-Flash"
+  status="Free Offer"
+  detail="API Free · Chat on Launch"
+>
+Free access is available in phases across B.AI API and Chat:
+
+* **API:** Qwen3.8-Flash API usage is currently billed at `0 Credits`. No input, cache write, cache read, or output token fees apply.
+* **Chat:** Free access begins when Qwen3.8-Flash becomes available in B.AI Chat. The availability date is subject to the actual model listing. Once available, Chat usage is billed at `0 Credits`.
+
+After the offer ends, Qwen3.8-Flash will return to the prices shown on this page.
+</ActivityCard>
+
+## Key Features
+
+* **Production Flash-Next Lineage:** Qwen identifies `qwen3.8-flash` as the production version based on Qwen3.8-Flash-Next. The related open-weight architecture uses Gated DeltaNet, Qwen Sparse Attention, Gated Residual, and N-gram Embedding; QwenCloud does not separately publish the production model's parameter count.
+* **Native Multimodal Input:** Accepts text, images, and video and produces text output, supporting visual coding, document analysis, charts, and long-video understanding.
+* **1M-Token Hosted Context:** Supports up to 991K input tokens without thinking, 983K input tokens with thinking, and 131K output tokens in either mode.
+* **Thinking and Agent Controls:** QwenCloud documents thinking as enabled by default for the Qwen3.8 series, exposes the `enable_thinking` control, and lists a maximum reasoning budget of 262K tokens.
+* **Agent-Oriented API Features:** Supports prefix completion, function calling, context caching, structured output, Batch API processing, fine-tuning, and built-in tools through QwenCloud's Responses API.
+* **Published Flash-Next Evaluation:** The related open-weight foundation reports 62.5 on SWE-bench Pro, 58.7 on DeepSWE 1.1, 73.9 on CoWorkBench, and 73.5 on Toolathlon Verified. Qwen has not published a separate benchmark table for the hosted production endpoint.
+
+## Best Use Cases
+
+* **Cost-Sensitive Coding Agents:** Repository analysis, code generation, debugging, and tool-driven development where low token prices and high account-level rate limits matter.
+* **Long-Context Knowledge Work:** Reviewing large document sets, codebases, conversation histories, and research materials within a 1M-token hosted context.
+* **Multimodal Analysis:** Understanding screenshots, charts, scanned documents, interfaces, and video together with text instructions.
+* **Structured Agent Workflows:** Applications that combine function calling, JSON structured output, code execution, search, extraction, and cached shared prompts.
+* **Asynchronous Bulk Processing:** Classification, extraction, evaluation, and dataset processing through the Batch API at half the real-time input and output rates.
+
+## Capabilities and Limitations
+
+| Capability | Description |
+| :--- | :--- |
+| **Reasoning** | Thinking is enabled by default for the Qwen3.8 series and can be controlled with `enable_thinking`. QwenCloud lists a 262K-token maximum reasoning budget but does not publish a model-specific reasoning-effort mapping on the model page. |
+| **Creative Writing** | Supports general, long-form, and structured text generation. |
+| **Coding** | The related Qwen3.8-Flash-Next evaluation reports SWE-bench Pro: 62.5, DeepSWE 1.1: 58.7, SWE-bench Multilingual: 81.0, and NL2Repo-Bench: 48.1. These are not hosted-endpoint SLA results. |
+| **Multimodal** | Accepts text, image, and video input and produces text output. |
+| **Context Window** | 1M tokens. |
+| **Maximum Input** | 991K tokens in non-thinking mode and 983K tokens in thinking mode. |
+| **Max Output** | 131K tokens in both thinking and non-thinking modes. |
+| **Tool Use** | Supports function calling, structured output, prefix completion, caching, and Batch API processing. Responses API tools include `code_interpreter`, `i2i_search`, `t2i_search`, `web_extractor`, and `web_search`. |
+| **Multilingual** | The related Flash-Next evaluation includes multilingual reasoning and coding benchmarks. |
+
+### Known Limitations
+
+* `qwen3.8-flash` is the hosted production model, while `Qwen/Qwen3.8-Flash-Next` is the related open-weight architecture release. Parameter counts, self-hosting behavior, and Flash-Next benchmark results should not be treated as hosted-endpoint guarantees.
+* QwenCloud does not publish a model-specific knowledge cutoff or complete supported-language list.
+* Thinking tokens are billed at the output-token rate and consume context. Applications should enable thinking according to task needs rather than assuming that a larger reasoning budget is always more efficient.
+
+## Pricing
+
+| Model | Input (Credits/Token) | Cache Write (Credits/Token) | Cache Read (Credits/Token) | Output (Credits/Token) | Web Search (Credits/Use) |
+| :--- | --------------------: | --------------------------: | -------------------------: | ---------------------: | -----------------------: |
+| **Qwen3.8-Flash** | `0.16` | `0.16` | `0.016` | `0.47` | `-` |
+
+Explicit cache creation costs `0.20 Credits/Token`. Both explicit and implicit cache hits cost `0.016 Credits/Token`.
+
+:::info Pricing note
+Prices shown in the documentation are B.AI standard reference prices for base billing purposes. B.AI may provide lower actual usage costs through limited-time offers, top-up bonuses, and account benefits. Specific prices, bonus Credits, account benefits, and final billing are subject to the platform display and billing records.
+:::
diff --git a/docs/llmservice/pricing-and-usage.md b/docs/llmservice/pricing-and-usage.md
@@ -29,13 +29,15 @@ The table below lists standard reference prices only. For current limited-time o
 | Kimi K3           |                  3.00 |                        3.00 |                       0.30 |                  15.00 |                        - |
 | Kimi K2.6         |                  0.95 |                        0.95 |                     0.1615 |                   4.00 |                        - |
 | Kimi K2.5         |                  0.59 |                        0.59 |                       0.10 |                   3.00 |                        - |
+| Qwen3.8-Flash     |                  0.16 |                        0.16 |                      0.016 |                   0.47 |                        - |
 | Qwen3.8-27B       |                  0.22 |                        0.22 |                      0.022 |                   1.60 |                        - |
 | Qwen3.8-Max       |                  2.00 |                        2.00 |                       0.25 |                   6.00 |                        - |
 | Qwen3.7-Max       |                  1.65 |                        1.65 |                       0.33 |                  4.951 |                        - |
 | Qwen3.6-27B       |                  0.19 |                        0.19 |                      0.019 |                   2.99 |                        - |
 | Hy3               |                 0.132 |                       0.132 |                      0.033 |                  0.528 |                        - |
 | MiMo-V2.5-Pro     |                 0.435 |                       0.435 |                     0.0036 |                   0.87 |                        - |
 | MiMo-V2.5         |                  0.14 |                        0.14 |                     0.0028 |                   0.28 |                        - |
+| GLM-5.3-Flash     |                 0.075 |                       0.075 |                      0.015 |                   0.25 |                        - |
 | GLM-5.3           |                  1.40 |                        1.40 |                       0.28 |                   4.40 |                        - |
 | GLM-5.2           |                  1.40 |                        1.40 |                       0.28 |                   4.40 |                        - |
 | GLM-5.1           |                  1.40 |                        1.40 |                       0.28 |                   4.40 |                        - |

diff --git a/docs/llmservice/promotions-and-pricing-notices.md b/docs/llmservice/promotions-and-pricing-notices.md
@@ -69,6 +69,34 @@ MiMo-V2.5 free access is available in phases:
 After the offer ends, MiMo-V2.5 will return to standard pricing. See the [model details](./models/mimo-v2.5.md).
 </ActivityCard>
 
+<ActivityCard
+  variant="free"
+  title="GLM-5.3-Flash"
+  status="Free Offer"
+  detail="API Free · Chat on Launch"
+>
+This offer covers B.AI API and Chat:
+
+* **API:** GLM-5.3-Flash API usage is currently billed at `0 Credits`. No input, cache write, cache read, or output token fees apply.
+* **Chat:** Free access begins when GLM-5.3-Flash becomes available in B.AI Chat. The availability time is subject to the actual model listing. Once available, Chat usage is billed at `0 Credits`.
+
+After the offer ends, GLM-5.3-Flash will return to the prices shown in the [model details](./models/glm-5-3-flash.md).
+</ActivityCard>
+
+<ActivityCard
+  variant="free"
+  title="Qwen3.8-Flash"
+  status="Free Offer"
+  detail="API Free · Chat on Launch"
+>
+Free access is available in phases across B.AI API and Chat:
+
+* **API:** Qwen3.8-Flash API usage is currently billed at `0 Credits`. No input, cache write, cache read, or output token fees apply.
+* **Chat:** Free access begins when Qwen3.8-Flash becomes available in B.AI Chat. The availability date is subject to the actual model listing. Once available, Chat usage is billed at `0 Credits`.
+
+After the offer ends, Qwen3.8-Flash will return to the prices shown in the [model details](./models/qwen3-8-flash.md).
+</ActivityCard>
+
 <ActivityCard
   variant="discount"
   title="GLM-5.2"

diff --git a/i18n/zh-Hans/docusaurus-plugin-content-docs/current.json b/i18n/zh-Hans/docusaurus-plugin-content-docs/current.json
@@ -159,9 +159,9 @@
     "message": "OpenClaw 集成",
     "description": "The label for category OpenClaw in sidebar docsSidebar"
   },
-  "sidebar.docsSidebar.category.API": {
+  "sidebar.docsSidebar.doc.API Reference": {
     "message": "API 参考",
-    "description": "The label for category API in sidebar docsSidebar"
+    "description": "The label for the doc item API Reference in sidebar docsSidebar"
   },
   "sidebar.docsSidebar.category.Explore Further": {
     "message": "进一步探索",