Instruction following · Mistral AI

Mixtral on IFEval: score, rank and what it means

Mixtral scores 81.2 on IFEval, placing it #298 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
81.2
0–100 scale
Rank
#298
of 600
Percentile
50th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral 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 sits at #298 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.9 points. The median model in this index scores 81.2, which puts Mixtral above the midpoint.

Mistral AI models average 76.5 on this benchmark. Mixtral is 4.7 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 85.2. Mixtral is 4.0 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 81.2 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 $3.48 per million input tokens, Mixtral 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 Base NVIDIA 8192 $3.29 73.0
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Modal Chat Modal 65536 $3.55 73.3
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Base Mistral AI 65536 $2.95 71.1
Mixtral Groq Groq 16384 $3.37 73.1

Other benchmarks for Mixtral

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.3 269 55th
GPQA Diamond 71.3 234 61th
SWE-bench Verified 60.3 321 47th
HumanEval 75.9 330 45th
MATH-500 78.5 249 59th
AIME 2025 72.2 215 64th
LiveCodeBench 62.5 342 43th
TruthfulQA 76.4 297 51th
HellaSwag 82.8 326 46th
MMMU 72.7 228 62th
Arena Elo 1363.2 337 44th

FAQ

What score does Mixtral get on IFEval?

Mixtral scores 81.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral rank on IFEval?

It ranks #298 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral good at IFEval?

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 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 cost?

Mixtral costs $3.48 per million input tokens and $12.73 per million output tokens.

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