Coding · Mistral AI

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

Mistral Small 3 Base scores 59.4 on SWE-bench Verified, placing it #336 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
59.4
0–100 scale
Rank
#336
of 600
Percentile
44th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
22.3
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Mistral Small 3 Base 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 Base sits at #336 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 22.3 points. The median model in this index scores 61.0, which puts Mistral Small 3 Base below the midpoint.

Mistral AI models average 54.7 on this benchmark. Mistral Small 3 Base is 4.7 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 55.5. Mistral Small 3 Base is 3.9 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 59.4 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 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
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Mixtral Chat Mistral AI 65536 $3.30 72.6
Reka Core Mini Reka AI 8192 $7.48 70.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
DeepSeek-Coder Base DeepSeek 32768 $3.53 74.1
Yi-Large Chat 01.AI 65536 $3.49 73.5

Other benchmarks for Mistral Small 3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 262 56th
GPQA Diamond 70.6 246 59th
HumanEval 77.5 298 50th
MATH-500 73.1 357 41th
AIME 2025 69.7 264 56th
LiveCodeBench 63.7 328 45th
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 SWE-bench Verified?

Mistral Small 3 Base scores 59.4 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 Base rank on SWE-bench Verified?

It ranks #336 of 600 models, in the 44th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Mistral Small 3 Base good at SWE-bench Verified?

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 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 Base cost?

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

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