Model
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Mistral Small 3 (24B)

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Mistral AI · Mistral Small family · released Jan 30, 2025

24B Apache-2.0 latency-optimized model competitive with Llama 3.3 70B at 3x+ the speed; 81% MMLU.

ReasoningCodingVisionFunction callingTool useAgentic
978.8
Elo · rank #217
Parameters
24B
Active params
24B (dense)
Context
32K tokens
Architecture
Dense transformer — 24B, Tekken tokenizer (131k vocab)
License
Apache 2.0
Languages
API price (in/out)
$0.1 / $0.3
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
Arena-HardHuman preference87.3%#18
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
HumanEvalCoding84.8%#44
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning82.9%#84
best: Gemma 4 26B A4B · 98.5%
MATH-500Math70.6%#88
best: GPT-5 · 99.4%
MMLU-ProKnowledge66.3%#103
best: Claude Fable 5 · 91.5%
MMLUKnowledge81.0%#83
best: OpenAI o3 · 92.9%
MT-BenchHuman preference8.35#36
best: Hunyuan-Large (A52B) · 9.4
WildBenchHuman preference52.3%#4
best: Mistral Small 3.2 (24B) · 65.3%
Run it locally
VRAM @ Q4
14.5 GB
VRAM @ FP16
55 GB
Fits on (Q4)
RTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF Q4 · AWQ · GPTQ · MLX
API price $0.1/$0.3 · each benchmark row carries its own source badge (see methodology)