mirror of https://github.com/openclaw/openclaw.git
fix(venice): switch default model to kimi-k2-5 (#38423)
* Docs: refresh Venice default model guidance * Venice: switch default model to Kimi K2.5 * Changelog: credit Venice default refresh
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Vincent Koc
GitHub
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@ -216,6 +216,7 @@ Docs: https://docs.openclaw.ai
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- Feishu/media downloads: drop invalid timeout fields from SDK method calls now that client-level `httpTimeoutMs` applies to requests. (#38267) Thanks @ant1eicher and @thewilloftheshadow.
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- PI embedded runner/Feishu docs: propagate sender identity into embedded attempts so Feishu doc auto-grant restores requester access for embedded-runner executions. (#32915) thanks @cszhouwei.
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- Agents/usage normalization: normalize missing or partial assistant usage snapshots before compaction accounting so `openclaw agent --json` no longer crashes when provider payloads omit `totalTokens` or related usage fields. (#34977) thanks @sp-hk2ldn.
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- Venice/default model refresh: switch the built-in Venice default to `kimi-k2-5`, update onboarding aliasing, and refresh Venice provider docs/recommendations to match the current private and anonymized catalog. (from #12964) Fixes #20156. Thanks @sabrinaaquino and @vincentkoc.
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## 2026.3.2
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@ -23,16 +23,16 @@ Venice AI provides privacy-focused AI inference with support for uncensored mode
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Venice offers two privacy levels — understanding this is key to choosing your model:
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| Mode | Description | Models |
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| -------------- | -------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------- |
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| **Private** | Fully private. Prompts/responses are **never stored or logged**. Ephemeral. | Llama, Qwen, DeepSeek, Venice Uncensored, etc. |
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| **Anonymized** | Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic) sees anonymized requests. | Claude, GPT, Gemini, Grok, Kimi, MiniMax |
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| Mode | Description | Models |
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| -------------- | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- |
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| **Private** | Fully private. Prompts/responses are **never stored or logged**. Ephemeral. | Llama, Qwen, DeepSeek, Kimi, MiniMax, Venice Uncensored, etc. |
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| **Anonymized** | Proxied through Venice with metadata stripped. The underlying provider (OpenAI, Anthropic, Google, xAI) sees anonymized requests. | Claude, GPT, Gemini, Grok |
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## Features
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- **Privacy-focused**: Choose between "private" (fully private) and "anonymized" (proxied) modes
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- **Uncensored models**: Access to models without content restrictions
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- **Major model access**: Use Claude, GPT-5.2, Gemini, Grok via Venice's anonymized proxy
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- **Major model access**: Use Claude, GPT, Gemini, and Grok via Venice's anonymized proxy
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- **OpenAI-compatible API**: Standard `/v1` endpoints for easy integration
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- **Streaming**: ✅ Supported on all models
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- **Function calling**: ✅ Supported on select models (check model capabilities)
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@ -79,23 +79,23 @@ openclaw onboard --non-interactive \
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### 3. Verify Setup
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```bash
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openclaw agent --model venice/llama-3.3-70b --message "Hello, are you working?"
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openclaw agent --model venice/kimi-k2-5 --message "Hello, are you working?"
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```
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## Model Selection
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After setup, OpenClaw shows all available Venice models. Pick based on your needs:
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- **Default model**: `venice/llama-3.3-70b` for private, balanced performance.
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- **High-capability option**: `venice/claude-opus-45` for hard jobs.
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- **Default model**: `venice/kimi-k2-5` for strong private reasoning plus vision.
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- **High-capability option**: `venice/claude-opus-4-6` for the strongest anonymized Venice path.
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- **Privacy**: Choose "private" models for fully private inference.
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- **Capability**: Choose "anonymized" models to access Claude, GPT, Gemini via Venice's proxy.
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Change your default model anytime:
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```bash
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openclaw models set venice/claude-opus-45
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openclaw models set venice/llama-3.3-70b
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openclaw models set venice/kimi-k2-5
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openclaw models set venice/claude-opus-4-6
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```
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List all available models:
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@ -112,53 +112,68 @@ openclaw models list | grep venice
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## Which Model Should I Use?
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| Use Case | Recommended Model | Why |
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| ---------------------------- | -------------------------------- | ----------------------------------- |
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| **General chat** | `llama-3.3-70b` | Good all-around, fully private |
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| **High-capability option** | `claude-opus-45` | Higher quality for hard tasks |
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| **Privacy + Claude quality** | `claude-opus-45` | Best reasoning via anonymized proxy |
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| **Coding** | `qwen3-coder-480b-a35b-instruct` | Code-optimized, 262k context |
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| **Vision tasks** | `qwen3-vl-235b-a22b` | Best private vision model |
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| **Uncensored** | `venice-uncensored` | No content restrictions |
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| **Fast + cheap** | `qwen3-4b` | Lightweight, still capable |
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| **Complex reasoning** | `deepseek-v3.2` | Strong reasoning, private |
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| Use Case | Recommended Model | Why |
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| -------------------------- | -------------------------------- | -------------------------------------------- |
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| **General chat (default)** | `kimi-k2-5` | Strong private reasoning plus vision |
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| **Best overall quality** | `claude-opus-4-6` | Strongest anonymized Venice option |
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| **Privacy + coding** | `qwen3-coder-480b-a35b-instruct` | Private coding model with large context |
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| **Private vision** | `kimi-k2-5` | Vision support without leaving private mode |
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| **Fast + cheap** | `qwen3-4b` | Lightweight reasoning model |
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| **Complex private tasks** | `deepseek-v3.2` | Strong reasoning, but no Venice tool support |
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| **Uncensored** | `venice-uncensored` | No content restrictions |
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## Available Models (25 Total)
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## Available Models (41 Total)
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### Private Models (15) — Fully Private, No Logging
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### Private Models (26) — Fully Private, No Logging
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| Model ID | Name | Context (tokens) | Features |
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| -------------------------------- | ----------------------- | ---------------- | ----------------------- |
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| `llama-3.3-70b` | Llama 3.3 70B | 131k | General |
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| `llama-3.2-3b` | Llama 3.2 3B | 131k | Fast, lightweight |
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| `hermes-3-llama-3.1-405b` | Hermes 3 Llama 3.1 405B | 131k | Complex tasks |
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| `qwen3-235b-a22b-thinking-2507` | Qwen3 235B Thinking | 131k | Reasoning |
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| `qwen3-235b-a22b-instruct-2507` | Qwen3 235B Instruct | 131k | General |
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| `qwen3-coder-480b-a35b-instruct` | Qwen3 Coder 480B | 262k | Code |
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| `qwen3-next-80b` | Qwen3 Next 80B | 262k | General |
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| `qwen3-vl-235b-a22b` | Qwen3 VL 235B | 262k | Vision |
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| `qwen3-4b` | Venice Small (Qwen3 4B) | 32k | Fast, reasoning |
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| `deepseek-v3.2` | DeepSeek V3.2 | 163k | Reasoning |
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| `venice-uncensored` | Venice Uncensored | 32k | Uncensored |
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| `mistral-31-24b` | Venice Medium (Mistral) | 131k | Vision |
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| `google-gemma-3-27b-it` | Gemma 3 27B Instruct | 202k | Vision |
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| `openai-gpt-oss-120b` | OpenAI GPT OSS 120B | 131k | General |
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| `zai-org-glm-4.7` | GLM 4.7 | 202k | Reasoning, multilingual |
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| Model ID | Name | Context | Features |
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| -------------------------------------- | ----------------------------------- | ------- | -------------------------- |
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| `kimi-k2-5` | Kimi K2.5 | 256k | Default, reasoning, vision |
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| `kimi-k2-thinking` | Kimi K2 Thinking | 256k | Reasoning |
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| `llama-3.3-70b` | Llama 3.3 70B | 128k | General |
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| `llama-3.2-3b` | Llama 3.2 3B | 128k | General |
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| `hermes-3-llama-3.1-405b` | Hermes 3 Llama 3.1 405B | 128k | General, tools disabled |
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| `qwen3-235b-a22b-thinking-2507` | Qwen3 235B Thinking | 128k | Reasoning |
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| `qwen3-235b-a22b-instruct-2507` | Qwen3 235B Instruct | 128k | General |
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| `qwen3-coder-480b-a35b-instruct` | Qwen3 Coder 480B | 256k | Coding |
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| `qwen3-coder-480b-a35b-instruct-turbo` | Qwen3 Coder 480B Turbo | 256k | Coding |
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| `qwen3-5-35b-a3b` | Qwen3.5 35B A3B | 256k | Reasoning, vision |
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| `qwen3-next-80b` | Qwen3 Next 80B | 256k | General |
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| `qwen3-vl-235b-a22b` | Qwen3 VL 235B (Vision) | 256k | Vision |
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| `qwen3-4b` | Venice Small (Qwen3 4B) | 32k | Fast, reasoning |
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| `deepseek-v3.2` | DeepSeek V3.2 | 160k | Reasoning, tools disabled |
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| `venice-uncensored` | Venice Uncensored (Dolphin-Mistral) | 32k | Uncensored, tools disabled |
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| `mistral-31-24b` | Venice Medium (Mistral) | 128k | Vision |
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| `google-gemma-3-27b-it` | Google Gemma 3 27B Instruct | 198k | Vision |
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| `openai-gpt-oss-120b` | OpenAI GPT OSS 120B | 128k | General |
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| `nvidia-nemotron-3-nano-30b-a3b` | NVIDIA Nemotron 3 Nano 30B | 128k | General |
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| `olafangensan-glm-4.7-flash-heretic` | GLM 4.7 Flash Heretic | 128k | Reasoning |
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| `zai-org-glm-4.6` | GLM 4.6 | 198k | General |
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| `zai-org-glm-4.7` | GLM 4.7 | 198k | Reasoning |
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| `zai-org-glm-4.7-flash` | GLM 4.7 Flash | 128k | Reasoning |
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| `zai-org-glm-5` | GLM 5 | 198k | Reasoning |
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| `minimax-m21` | MiniMax M2.1 | 198k | Reasoning |
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| `minimax-m25` | MiniMax M2.5 | 198k | Reasoning |
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### Anonymized Models (10) — Via Venice Proxy
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### Anonymized Models (15) — Via Venice Proxy
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| Model ID | Original | Context (tokens) | Features |
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| ------------------------ | ----------------- | ---------------- | ----------------- |
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| `claude-opus-45` | Claude Opus 4.5 | 202k | Reasoning, vision |
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| `claude-sonnet-45` | Claude Sonnet 4.5 | 202k | Reasoning, vision |
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| `openai-gpt-52` | GPT-5.2 | 262k | Reasoning |
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| `openai-gpt-52-codex` | GPT-5.2 Codex | 262k | Reasoning, vision |
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| `gemini-3-pro-preview` | Gemini 3 Pro | 202k | Reasoning, vision |
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| `gemini-3-flash-preview` | Gemini 3 Flash | 262k | Reasoning, vision |
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| `grok-41-fast` | Grok 4.1 Fast | 262k | Reasoning, vision |
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| `grok-code-fast-1` | Grok Code Fast 1 | 262k | Reasoning, code |
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| `kimi-k2-thinking` | Kimi K2 Thinking | 262k | Reasoning |
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| `minimax-m21` | MiniMax M2.5 | 202k | Reasoning |
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| Model ID | Name | Context | Features |
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| ------------------------------- | ------------------------------ | ------- | ------------------------- |
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| `claude-opus-4-6` | Claude Opus 4.6 (via Venice) | 1M | Reasoning, vision |
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| `claude-opus-4-5` | Claude Opus 4.5 (via Venice) | 198k | Reasoning, vision |
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| `claude-sonnet-4-6` | Claude Sonnet 4.6 (via Venice) | 1M | Reasoning, vision |
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| `claude-sonnet-4-5` | Claude Sonnet 4.5 (via Venice) | 198k | Reasoning, vision |
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| `openai-gpt-54` | GPT-5.4 (via Venice) | 1M | Reasoning, vision |
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| `openai-gpt-53-codex` | GPT-5.3 Codex (via Venice) | 400k | Reasoning, vision, coding |
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| `openai-gpt-52` | GPT-5.2 (via Venice) | 256k | Reasoning |
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| `openai-gpt-52-codex` | GPT-5.2 Codex (via Venice) | 256k | Reasoning, vision, coding |
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| `openai-gpt-4o-2024-11-20` | GPT-4o (via Venice) | 128k | Vision |
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| `openai-gpt-4o-mini-2024-07-18` | GPT-4o Mini (via Venice) | 128k | Vision |
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| `gemini-3-1-pro-preview` | Gemini 3.1 Pro (via Venice) | 1M | Reasoning, vision |
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| `gemini-3-pro-preview` | Gemini 3 Pro (via Venice) | 198k | Reasoning, vision |
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| `gemini-3-flash-preview` | Gemini 3 Flash (via Venice) | 256k | Reasoning, vision |
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| `grok-41-fast` | Grok 4.1 Fast (via Venice) | 1M | Reasoning, vision |
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| `grok-code-fast-1` | Grok Code Fast 1 (via Venice) | 256k | Reasoning, coding |
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## Model Discovery
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@ -194,11 +209,11 @@ Venice uses a credit-based system. Check [venice.ai/pricing](https://venice.ai/p
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## Usage Examples
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```bash
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# Use default private model
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openclaw agent --model venice/llama-3.3-70b --message "Quick health check"
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# Use the default private model
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openclaw agent --model venice/kimi-k2-5 --message "Quick health check"
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# Use Claude via Venice (anonymized)
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openclaw agent --model venice/claude-opus-45 --message "Summarize this task"
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# Use Claude Opus via Venice (anonymized)
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openclaw agent --model venice/claude-opus-4-6 --message "Summarize this task"
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# Use uncensored model
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openclaw agent --model venice/venice-uncensored --message "Draft options"
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@ -234,7 +249,7 @@ Venice API is at `https://api.venice.ai/api/v1`. Ensure your network allows HTTP
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```json5
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{
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env: { VENICE_API_KEY: "vapi_..." },
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agents: { defaults: { model: { primary: "venice/llama-3.3-70b" } } },
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agents: { defaults: { model: { primary: "venice/kimi-k2-5" } } },
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models: {
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mode: "merge",
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providers: {
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@ -244,13 +259,13 @@ Venice API is at `https://api.venice.ai/api/v1`. Ensure your network allows HTTP
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api: "openai-completions",
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models: [
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{
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id: "llama-3.3-70b",
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name: "Llama 3.3 70B",
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reasoning: false,
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input: ["text"],
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id: "kimi-k2-5",
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name: "Kimi K2.5",
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reasoning: true,
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input: ["text", "image"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 131072,
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maxTokens: 8192,
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contextWindow: 256000,
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maxTokens: 65536,
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},
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],
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},
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@ -5,7 +5,7 @@ import { createSubsystemLogger } from "../logging/subsystem.js";
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const log = createSubsystemLogger("venice-models");
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export const VENICE_BASE_URL = "https://api.venice.ai/api/v1";
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export const VENICE_DEFAULT_MODEL_ID = "llama-3.3-70b";
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export const VENICE_DEFAULT_MODEL_ID = "kimi-k2-5";
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export const VENICE_DEFAULT_MODEL_REF = `venice/${VENICE_DEFAULT_MODEL_ID}`;
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// Venice uses credit-based pricing, not per-token costs.
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@ -305,7 +305,7 @@ export function applyVeniceProviderConfig(cfg: OpenClawConfig): OpenClawConfig {
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const models = { ...cfg.agents?.defaults?.models };
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models[VENICE_DEFAULT_MODEL_REF] = {
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...models[VENICE_DEFAULT_MODEL_REF],
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alias: models[VENICE_DEFAULT_MODEL_REF]?.alias ?? "Llama 3.3 70B",
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alias: models[VENICE_DEFAULT_MODEL_REF]?.alias ?? "Kimi K2.5",
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};
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const veniceModels = VENICE_MODEL_CATALOG.map(buildVeniceModelDefinition);
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