Best LLMs for Classification (2026)
Compare models for routing, moderation, extraction, safety labels, and structured classification by sourced benchmark coverage and pricing.
| # | Model | Input $/1M | Output $/1M | |
|---|---|---|---|---|
| 1 | Llama 3.1 405B MMLU-Pro: — | — | — | |
| 2 | DeepSeek V3 Tools MMLU-Pro: 75.87% | $0.10 | $0.28 | |
| 3 | Qwen2.5-72B MMLU-Pro: — | $0.20 | $0.60 | |
| 4 | Llama 3.1 70B Instruct MMLU-Pro: — | $0.40 | $0.40 | |
| 5 | Mistral Large 2 VisionTools MMLU-Pro: 69.7% | $0.48 | $1.50 | |
| 6 | Mixtral 8x22B v0.1 MMLU-Pro: — | GPU·hr | $1.00 | |
| 7 | Falcon 180B MMLU-Pro: — | — | — | |
| 8 | Gemma 2 27B MMLU-Pro: 56.54% | $0.08 | $0.24 | |
| 9 | Llama 3 70B MMLU-Pro: — | $0.65 | $2.75 | |
| 10 | Qwen2-7B MMLU-Pro: — | $0.05 | $0.15 | |
| 11 | Mistral NeMo Instruct (2407) MMLU-Pro: — | GPU·hr | $1.00 | |
| 12 | DeepSeek Coder V2 Lite MMLU-Pro: — | $0.50 | $0.50 | |
| 13 | Llama 3 8B Instruct MMLU-Pro: 40.5% | $0.03 | $0.04 | |
| 14 | Mixtral 8x7B MMLU-Pro: — | $0.15 | $0.20 | |
| 15 | Phi-3 Small 128K MMLU-Pro: — | $0.35 | $1.05 | |
| 16 | Mistral 7B Instruct v0.3 Tools MMLU-Pro: — | $0.20 | $0.20 | |
| 17 | Phi-3 Mini 128K MMLU-Pro: 43.86% | GPU·hr | $1.00 | |
| 18 | DeepSeek V4 Pro ReasoningTools MMLU-Pro: 87.5% | $0.43 | $0.87 | |
| 19 | Gemini 3 Pro VisionTools MMLU-Pro: 90.1% | $1.25 | $5.00 | |
| 20 | DeepSeek Math 7B Instruct MMLU-Pro: — | — | — |
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