Research · best for
Best AI model for Dataset Annotation (2026)
Annotating training data at scale. Ranked from 346 live models on the OpenRouter catalog, weighted for low cost, structured output, low latency.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Auto Routeropenrouter/auto | 600134 | $-1000000.00 | $-1000000.00 | 2,000,000 | Try → |
| 2 | Pareto Code Routeropenrouter/pareto-code | 600126 | $-1000000.00 | $-1000000.00 | 200,000 | Try → |
| 3 | Body Builder (beta)openrouter/bodybuilder | 600126 | $-1000000.00 | $-1000000.00 | 128,000 | Try → |
| 4 | Google: Gemma 4 26B A4B (free)google/gemma-4-26b-a4b-it:free | 134 | Free | Free | 262,144 | Try → |
| 5 | Google: Gemma 4 31B (free)google/gemma-4-31b-it:free | 134 | Free | Free | 262,144 | Try → |
| 6 | Google: Gemma 4 26B A4B google/gemma-4-26b-a4b-it | 133 | $0.07 | $0.35 | 262,144 | Try → |
| 7 | Qwen: Qwen3.5-9Bqwen/qwen3.5-9b | 133 | $0.10 | $0.15 | 262,144 | Try → |
| 8 | Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | 133 | $0.07 | $0.26 | 1,000,000 | Try → |
| 9 | ByteDance Seed: Seed 1.6 Flashbytedance-seed/seed-1.6-flash | 133 | $0.07 | $0.30 | 262,144 | Try → |
| 10 | OpenAI: GPT-5 Nanoopenai/gpt-5-nano | 133 | $0.05 | $0.40 | 400,000 | Try → |
| 11 | Google: Gemini 2.0 Flash Litegoogle/gemini-2.0-flash-lite-001 | 133 | $0.07 | $0.30 | 1,048,576 | Try → |
| 12 | Google: Gemma 4 31Bgoogle/gemma-4-31b-it | 133 | $0.13 | $0.38 | 262,144 | Try → |
| 13 | Mistral: Mistral Small 4mistralai/mistral-small-2603 | 133 | $0.15 | $0.60 | 262,144 | Try → |
| 14 | ByteDance Seed: Seed-2.0-Minibytedance-seed/seed-2.0-mini | 133 | $0.10 | $0.40 | 262,144 | Try → |
| 15 | xAI: Grok 4.1 Fastx-ai/grok-4.1-fast | 133 | $0.20 | $0.50 | 2,000,000 | Try → |
How we ranked these
For Dataset Annotation, we weight models on low cost, structured output, low latency. Higher means better. Scores combine OpenRouter's model metadata (context length, modality support, tool calling, structured output, reasoning capability) with public pricing. See full methodology →
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