Preference · Mistral AI

Mistral Large 3 on Arena Elo: score, rank and what it means

Mistral Large 3 scores 1448.6 on Arena Elo, placing it #76 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1448.6
0–100 scale
Rank
#76
of 600
Percentile
87th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
53.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mistral Large 3 highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Mistral Large 3 sits at #76 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 53.3 points. The median model in this index scores 1373.8, which puts Mistral Large 3 above the midpoint.

Mistral AI models average 1329.1 on this benchmark. Mistral Large 3 is 119.5 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 1409.6. Mistral Large 3 is 39.0 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 1448.6 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 $5.41 per million input tokens, Mistral Large 3 is above the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 2.5 Pro Max Google DeepMind 200000 $16.94 84.8
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
o3 OpenAI 400000 $16.80 84.5
Mistral Large 3 Mistral AI 128000 $5.41 81.7
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Grok 3 Pro xAI 400000 $16.61 83.8

Other benchmarks for Mistral Large 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.6 71 88th
GPQA Diamond 79.6 65 89th
SWE-bench Verified 71.3 89 85th
HumanEval 88.6 62 90th
MATH-500 84.1 123 80th
AIME 2025 78.3 110 82th
LiveCodeBench 74.4 101 83th
IFEval 89.8 75 88th
TruthfulQA 83.7 89 85th
HellaSwag 88.2 135 78th
MMMU 76.2 134 78th

FAQ

What score does Mistral Large 3 get on Arena Elo?

Mistral Large 3 scores 1448.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mistral Large 3 rank on Arena Elo?

It ranks #76 of 600 models, in the 87th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mistral Large 3 good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 cost?

Mistral Large 3 costs $5.41 per million input tokens and $23.83 per million output tokens.

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