Data · best for
Best AI model for Bulk Data Labeling (2026)
Cheaply tagging thousands of items with consistent labels. Ranked from 346 live models on the OpenRouter catalog, weighted for low cost, low latency, structured output.
| # | Model | Score | In / 1M | Out / 1M | Context | |
|---|---|---|---|---|---|---|
| 1 | Auto Routeropenrouter/auto | 600130 | $-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 | 130 | Free | Free | 262,144 | Try → |
| 5 | Google: Gemma 4 31B (free)google/gemma-4-31b-it:free | 130 | Free | Free | 262,144 | Try → |
| 6 | Google: Gemma 4 26B A4B google/gemma-4-26b-a4b-it | 129 | $0.07 | $0.35 | 262,144 | Try → |
| 7 | Qwen: Qwen3.5-9Bqwen/qwen3.5-9b | 129 | $0.10 | $0.15 | 262,144 | Try → |
| 8 | Qwen: Qwen3.5-Flashqwen/qwen3.5-flash-02-23 | 129 | $0.07 | $0.26 | 1,000,000 | Try → |
| 9 | ByteDance Seed: Seed 1.6 Flashbytedance-seed/seed-1.6-flash | 129 | $0.07 | $0.30 | 262,144 | Try → |
| 10 | OpenAI: GPT-5 Nanoopenai/gpt-5-nano | 129 | $0.05 | $0.40 | 400,000 | Try → |
| 11 | Google: Gemini 2.0 Flash Litegoogle/gemini-2.0-flash-lite-001 | 129 | $0.07 | $0.30 | 1,048,576 | Try → |
| 12 | Google: Gemma 4 31Bgoogle/gemma-4-31b-it | 129 | $0.13 | $0.38 | 262,144 | Try → |
| 13 | Mistral: Mistral Small 4mistralai/mistral-small-2603 | 129 | $0.15 | $0.60 | 262,144 | Try → |
| 14 | ByteDance Seed: Seed-2.0-Minibytedance-seed/seed-2.0-mini | 129 | $0.10 | $0.40 | 262,144 | Try → |
| 15 | xAI: Grok 4.1 Fastx-ai/grok-4.1-fast | 129 | $0.20 | $0.50 | 2,000,000 | Try → |
How we ranked these
For Bulk Data Labeling, we weight models on low cost, low latency, structured output. 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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