Instruction following · Mistral AI

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

Mixtral 8B scores 68.4 on IFEval, placing it #484 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
68.4
0–100 scale
Rank
#484
of 600
Percentile
19th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
27.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral 8B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Mixtral 8B sits at #484 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 27.7 points. The median model in this index scores 81.2, which puts Mixtral 8B below the midpoint.

Mistral AI models average 76.5 on this benchmark. Mixtral 8B is 8.1 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 64.9. Mixtral 8B is 3.5 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 68.4 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Pythia Base EleutherAI 16384 $0.99 55.9
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Mixtral 8B Mistral AI 8192 $0.91 55.4
Kimi K2 1.5B Moonshot AI 4096 $0.99 56.8
Llama 3.1 8B Meta AI 8192 $1.15 58.7

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
TruthfulQA 61.4 515 14th
HellaSwag 71.5 510 15th
MMMU 52.1 529 12th
Arena Elo 1252.7 487 19th

FAQ

What score does Mixtral 8B get on IFEval?

Mixtral 8B scores 68.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral 8B rank on IFEval?

It ranks #484 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral 8B good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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.

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