Coding · Mistral AI

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

Mistral Small 3 Base scores 63.7 on LiveCodeBench, placing it #328 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
63.7
0–100 scale
Rank
#328
of 600
Percentile
45th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
21.4
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Mistral Small 3 Base 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 Base sits at #328 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 21.4 points. The median model in this index scores 64.7, which puts Mistral Small 3 Base below the midpoint.

Mistral AI models average 58.1 on this benchmark. Mistral Small 3 Base is 5.6 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 59.1. Mistral Small 3 Base is 4.6 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 63.7 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 $3.19 per million input tokens, Mistral Small 3 Base 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
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Firesearch Max Fireworks AI 8192 $7.80 69.9
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Phi-4 Base Microsoft 32768 $3.15 71.2
Mixtral Turbo Together AI 65536 $3.20 72.4

Other benchmarks for Mistral Small 3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 262 56th
GPQA Diamond 70.6 246 59th
SWE-bench Verified 59.4 336 44th
HumanEval 77.5 298 50th
MATH-500 73.1 357 41th
AIME 2025 69.7 264 56th
IFEval 80.0 332 45th
TruthfulQA 76.7 288 52th
HellaSwag 83.4 309 49th
MMMU 68.5 335 44th
Arena Elo 1377.0 284 53th

FAQ

What score does Mistral Small 3 Base get on LiveCodeBench?

Mistral Small 3 Base scores 63.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Mistral Small 3 Base rank on LiveCodeBench?

It ranks #328 of 600 models, in the 45th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Mistral Small 3 Base good at LiveCodeBench?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Base cost?

Mistral Small 3 Base costs $3.19 per million input tokens and $11.34 per million output tokens.

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