Coding · Mistral AI

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

Mistral Large 3 Instruct scores 71.9 on SWE-bench Verified, placing it #76 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
71.9
0–100 scale
Rank
#76
of 600
Percentile
87th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
9.8
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Mistral Large 3 Instruct 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 Large 3 Instruct sits at #76 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 9.8 points. The median model in this index scores 61.0, which puts Mistral Large 3 Instruct above the midpoint.

Mistral AI models average 54.7 on this benchmark. Mistral Large 3 Instruct is 17.2 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 Large 3 Instruct is 5.5 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 71.9 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 $5.31 per million input tokens, Mistral Large 3 Instruct is above 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
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
DeepSeek-R1 DeepSeek 128000 $5.83 82.8
GPT-4.1 OpenAI 1000000 $15.71 82.4
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Llama 4 Maverick Meta AI 200000 $5.36 81.6
o3 Max OpenAI 2000000 $17.82 84.8

Other benchmarks for Mistral Large 3 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.3 116 81th
GPQA Diamond 79.8 60 90th
HumanEval 84.2 129 79th
MATH-500 83.4 140 77th
AIME 2025 76.2 137 77th
LiveCodeBench 75.1 94 84th
IFEval 87.6 113 81th
TruthfulQA 85.5 60 90th
HellaSwag 89.1 110 82th
MMMU 76.5 125 79th
Arena Elo 1446.2 88 85th

FAQ

What score does Mistral Large 3 Instruct get on SWE-bench Verified?

Mistral Large 3 Instruct scores 71.9 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Mistral Large 3 Instruct rank on SWE-bench Verified?

It ranks #76 of 600 models, in the 87th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Mistral Large 3 Instruct 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 Large 3 Instruct cost?

Mistral Large 3 Instruct costs $5.31 per million input tokens and $22.47 per million output tokens.

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