Preference · Mistral AI

Mixtral 8B on Arena Elo: score, rank and what it means

Mixtral 8B scores 1252.7 on Arena Elo, placing it #487 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
1252.7
0–100 scale
Rank
#487
of 600
Percentile
19th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
249.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral 8B 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 8B sits at #487 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 249.2 points. The median model in this index scores 1373.8, which puts Mixtral 8B below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Mixtral 8B is 76.4 points below that provider line, so it is a weaker result than the average Mistral AI model.

Among small open-weight models, the average is 1224.7. Mixtral 8B is 28.0 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 1252.7 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 $0.91 per million input tokens, Mixtral 8B 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
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Codestral 8B Mistral AI 4096 $1.18 59.0
Mixtral 8B Mistral AI 8192 $0.91 55.4
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3

Other benchmarks for Mixtral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.0 502 16th
GPQA Diamond 52.3 498 17th
SWE-bench Verified 41.1 510 15th
HumanEval 58.6 516 14th
MATH-500 56.3 504 16th
AIME 2025 44.3 504 16th
LiveCodeBench 41.9 526 12th
IFEval 68.4 484 19th
TruthfulQA 61.4 515 14th
HellaSwag 71.5 510 15th
MMMU 52.1 529 12th

FAQ

What score does Mixtral 8B get on Arena Elo?

Mixtral 8B scores 1252.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral 8B rank on Arena Elo?

It ranks #487 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral 8B 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 8B cost?

Mixtral 8B costs $0.91 per million input tokens and $4.38 per million output tokens.

Related