Coding · Mistral AI

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

Mistral Small 3 Chat scores 61.6 on SWE-bench Verified, placing it #291 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
61.6
0–100 scale
Rank
#291
of 600
Percentile
52th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
20.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Mistral Small 3 Chat 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 Chat sits at #291 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 20.1 points. The median model in this index scores 61.0, which puts Mistral Small 3 Chat above the midpoint.

Mistral AI models average 54.7 on this benchmark. Mistral Small 3 Chat is 6.9 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 Chat is 4.8 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 61.6 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 $3.54 per million input tokens, Mistral Small 3 Chat 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
Reka Flash Pro Reka AI 200000 $10.82 75.2
Fusion Reasoning OpenRouter 65536 $8.59 72.2
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Anyscale Instruct Anyscale 200000 $3.91 75.7

Other benchmarks for Mistral Small 3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 286 52th
GPQA Diamond 68.2 310 48th
HumanEval 80.1 231 62th
MATH-500 75.2 322 46th
AIME 2025 66.9 315 48th
LiveCodeBench 67.6 235 61th
IFEval 82.9 247 59th
TruthfulQA 78.8 226 62th
HellaSwag 82.6 333 45th
MMMU 70.4 285 53th
Arena Elo 1387.4 257 57th

FAQ

What score does Mistral Small 3 Chat get on SWE-bench Verified?

Mistral Small 3 Chat scores 61.6 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 Chat rank on SWE-bench Verified?

It ranks #291 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Pro at 81.7.

Is Mistral Small 3 Chat 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 Chat cost?

Mistral Small 3 Chat costs $3.54 per million input tokens and $16.77 per million output tokens.

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