Coding · Mistral AI

Mistral Small 3 on LiveCodeBench: score, rank and what it means

Mistral Small 3 scores 65.1 on LiveCodeBench, placing it #292 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
65.1
0–100 scale
Rank
#292
of 600
Percentile
51th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
20.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Mistral Small 3 highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Mistral Small 3 sits at #292 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 20.0 points. The median model in this index scores 64.7, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 58.1 on this benchmark. Mistral Small 3 is 7.0 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 70.3. Mistral Small 3 is 5.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 65.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $3.90 per million input tokens, Mistral Small 3 is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Arctic Instruct Snowflake 65536 $2.83 70.6
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Auto Reasoning OpenRouter 65536 $8.39 71.5
Llama 3 Modal Base Modal 16384 $3.21 72.2
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
DBRX Instruct Databricks 8192 $3.21 72.4

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.1 240 60th
GPQA Diamond 73.8 177 71th
SWE-bench Verified 65.6 202 66th
HumanEval 78.6 275 54th
MATH-500 77.2 274 54th
AIME 2025 70.8 242 60th
IFEval 83.5 232 61th
TruthfulQA 76.3 300 50th
HellaSwag 86.5 193 68th
MMMU 72.8 226 62th
Arena Elo 1407.1 190 68th

FAQ

What score does Mistral Small 3 get on LiveCodeBench?

Mistral Small 3 scores 65.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Mistral Small 3 rank on LiveCodeBench?

It ranks #292 of 600 models, in the 51st percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Mistral Small 3 good at LiveCodeBench?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the LiveCodeBench score calculated?

LiveCodeBench is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Mistral Small 3 cost?

Mistral Small 3 costs $3.90 per million input tokens and $20.43 per million output tokens.

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