Mistral Small 3 24B Instruct
Mistral Small 3 is a 24B-parameter LLM licensed under Apache-2.0. It focuses on low-latency, high-efficiency instruction following, maintaining performance comparable to larger models. It provides quick, accurate responses for conversational agents, function calling, and domain-specific fine-tuning. Suitable for local inference when quantized, it rivals models 2–3× its size while using significantly fewer compute resources.
Benchmark results
| Benchmark | Score | Tags | Source |
|---|---|---|---|
| Arena Hard | 87.6% | self-reported llm-stats | link → |
| GPQA | 45.3% | self-reported llm-stats | link → |
| HumanEval | 84.8% | self-reported llm-stats | link → |
| IFEval | 82.9% | self-reported llm-stats | link → |
| MATH | 70.6% | self-reported llm-stats | link → |
| MMLU-Pro | 66.3% | self-reported llm-stats | link → |
| MT-Bench | 83.5 | self-reported llm-stats | link → |
| Wild Bench | 52.2% | self-reported llm-stats | link → |