Coding · Mistral AI

Mistral Small 3 on SWE-bench Verified: score, rank and what it means

Mistral Small 3 scores 65.6 on SWE-bench Verified, placing it #202 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
65.6
0–100 scale
Rank
#202
of 600
Percentile
66th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
16.1
points

Score distribution

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

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Mistral Small 3 sits at #202 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 16.1 points. The median model in this index scores 61.0, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 54.7 on this benchmark. Mistral Small 3 is 10.9 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 66.4. Mistral Small 3 is 0.8 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 65.6 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 SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Perplexity 200000 $10.57 76.0
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
Yi-Lightning 01.AI 32768 $4.22 77.2
Magistral Base Mistral AI 65536 $3.86 75.6
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Nova Pro Amazon 32768 $12.75 79.4
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.1 240 60th
GPQA Diamond 73.8 177 71th
HumanEval 78.6 275 54th
MATH-500 77.2 274 54th
AIME 2025 70.8 242 60th
LiveCodeBench 65.1 292 51th
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 SWE-bench Verified?

Mistral Small 3 scores 65.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Mistral Small 3 rank on SWE-bench Verified?

It ranks #202 of 600 models, in the 66th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Mistral Small 3 good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified 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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