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nealwu merged 2 commits into from
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Sync up the cookbook model lineup with the one from the docs (and add Kimi K2.5) #371

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Sync up the cookbook model lineup with the one from our docs (and add…
nealwu Feb 17, 2026
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Kimi K2.5 is Reasoning + Vision
nealwu Feb 17, 2026
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53 changes: 28 additions & 25 deletions docs/model-lineup.mdx
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Expand Up @@ -7,45 +7,48 @@ The table below shows the models that are currently available in Tinker. We plan
- In general, use MoE models, which are more cost effective than the dense models.
- Use Base models only if you're doing research or are running the full post-training pipeline yourself
- If you want to create a model that is good at a specific task or domain, use an existing post-trained model, and fine-tune it on your own data or environment.
- If you care about latency, use one of the Instruction models, which will start outputting tokens without a chain-of-thought.
- If you care about intelligence and robustness, use one of the Hybrid or Reasoning models, which can use long chain-of-thought.
- If you care about latency, use one of the Instruction models, which will start outputting tokens without a chain-of-thought.
- If you care about intelligence and robustness, use one of the Hybrid or Reasoning models, which can use long chain-of-thought.

## Full Listing

| Model Name | Training Type | Architecture | Size |
| ----------------------------------------------------------------------------------------------- | ------------- | ------------ | --------- |
| [Qwen/Qwen3-VL-235B-A22B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct) | Vision | MoE | Large |
| [Qwen/Qwen3-VL-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) | Vision | MoE | Medium |
| [Qwen/Qwen3-235B-A22B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507) | Instruction | MoE | Large |
| [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) | Instruction | MoE | Medium |
| [Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B) | Hybrid | MoE | Medium |
| [Qwen/Qwen3-30B-A3B-Base](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base) | Base | MoE | Medium |
| [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) | Hybrid | Dense | Medium |
| [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) | Hybrid | Dense | Small |
| [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) | Base | Dense | Small |
| [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) | Instruction | Dense | Compact |
| [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b) | Reasoning | MoE | Medium |
| [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) | Reasoning | MoE | Small |
| [deepseek-ai/DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) | Hybrid | MoE | Large |
| [deepseek-ai/DeepSeek-V3.1-Base](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base) | Base | MoE | Large |
| [meta-llama/Llama-3.1-70B](https://huggingface.co/meta-llama/Llama-3.1-70B) | Base | Dense | Large |
| [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) | Instruction | Dense | Large |
| [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) | Base | Dense | Small |
| [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | Instruction | Dense | Small |
| [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) | Base | Dense | Compact |
| [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) | Base | Dense | Compact |
| [moonshotai/Kimi-K2-Thinking](https://huggingface.co/moonshotai/Kimi-K2-Thinking) | Reasoning | MoE | Large |
| Model Name | Training Type | Architecture | Size |
| ----------------------------------------------------------------------------------------------- | ------------- | ------------ | ------- |
| [Qwen/Qwen3-VL-235B-A22B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct) | Vision | MoE | Large |
| [Qwen/Qwen3-VL-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct) | Vision | MoE | Medium |
| [Qwen/Qwen3-235B-A22B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507) | Instruction | MoE | Large |
| [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) | Instruction | MoE | Medium |
| [Qwen/Qwen3-30B-A3B](https://huggingface.co/Qwen/Qwen3-30B-A3B) | Hybrid | MoE | Medium |
| [Qwen/Qwen3-30B-A3B-Base](https://huggingface.co/Qwen/Qwen3-30B-A3B-Base) | Base | MoE | Medium |
| [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) | Hybrid | Dense | Medium |
| [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) | Hybrid | Dense | Small |
| [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) | Base | Dense | Small |
| [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507) | Instruction | Dense | Compact |
| [openai/gpt-oss-120b](https://huggingface.co/openai/gpt-oss-120b) | Reasoning | MoE | Medium |
| [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) | Reasoning | MoE | Small |
| [deepseek-ai/DeepSeek-V3.1](https://huggingface.co/deepseek-ai/DeepSeek-V3.1) | Hybrid | MoE | Large |
| [deepseek-ai/DeepSeek-V3.1-Base](https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base) | Base | MoE | Large |
| [meta-llama/Llama-3.1-70B](https://huggingface.co/meta-llama/Llama-3.1-70B) | Base | Dense | Large |
| [meta-llama/Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) | Instruction | Dense | Large |
| [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) | Base | Dense | Small |
| [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) | Instruction | Dense | Small |
| [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) | Base | Dense | Compact |
| [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) | Base | Dense | Compact |
| [moonshotai/Kimi-K2-Thinking](https://huggingface.co/moonshotai/Kimi-K2-Thinking) | Reasoning | MoE | Large |
| [moonshotai/Kimi-K2.5](https://huggingface.co/moonshotai/Kimi-K2.5) | Reasoning + Vision | MoE | Large |

## Legend

### Training Types

- **Base**: Foundation models trained on raw text data, suitable for post-training research and custom fine-tuning.
- **Instruction**: Models fine-tuned for following instructions and chat, optimized for fast inference.
- **Reasoning**: Models that always use chain-of-thought reasoning before their "visible" output that responds to the prompt.
- **Hybrid**: Models that can operate in both thinking and non-thinking modes, where the non-thinking mode requires using a special renderer or argument that disables chain-of-thought.
- **Vision**: Vision-language models (VLMs) that can process images alongside text. See [Vision Inputs](/rendering#vision-inputs) for usage.

### Architecture

- **Dense**: Standard transformer architecture with all parameters active
- **MoE**: Mixture of Experts architecture with sparse activation

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