Preference · Mistral AI

Mixtral Instruct on Arena Elo: score, rank and what it means

Mixtral Instruct scores 1362.7 on Arena Elo, placing it #338 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
1362.7
0–100 scale
Rank
#338
of 600
Percentile
44th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
139.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral Instruct 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, Mixtral Instruct sits at #338 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 139.2 points. The median model in this index scores 1373.8, which puts Mixtral Instruct below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Mixtral Instruct is 33.6 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. Mixtral Instruct is 46.9 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 1362.7 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 $3.35 per million input tokens, Mixtral Instruct is below 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
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Mixtral Turbo Together AI 65536 $3.20 72.4
Llama 3 Modal Base Modal 16384 $3.21 72.2
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Instruct Mistral AI 65536 $3.35 72.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
Firesearch Pro Fireworks AI 32768 $7.67 70.4

Other benchmarks for Mixtral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 279 54th
GPQA Diamond 67.6 320 47th
SWE-bench Verified 61.0 299 50th
HumanEval 78.2 286 52th
MATH-500 75.6 312 48th
AIME 2025 69.0 282 53th
LiveCodeBench 66.2 271 55th
IFEval 79.8 336 44th
TruthfulQA 75.4 322 46th
HellaSwag 82.0 348 42th
MMMU 70.2 293 51th

FAQ

What score does Mixtral Instruct get on Arena Elo?

Mixtral Instruct scores 1362.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral Instruct rank on Arena Elo?

It ranks #338 of 600 models, in the 44th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral Instruct good at Arena Elo?

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 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 Mixtral Instruct cost?

Mixtral Instruct costs $3.35 per million input tokens and $18.19 per million output tokens.

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