Instruction following · Mistral AI

Mixtral Chat on IFEval: score, rank and what it means

Mixtral Chat scores 80.5 on IFEval, placing it #321 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
80.5
0–100 scale
Rank
#321
of 600
Percentile
47th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
15.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral Chat 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 Chat sits at #321 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 15.6 points. The median model in this index scores 81.2, which puts Mixtral Chat below the midpoint.

Mistral AI models average 76.5 on this benchmark. Mixtral Chat is 4.0 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 77.0. Mixtral Chat 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 80.5 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 $3.30 per million input tokens, Mixtral Chat 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
Auto Pro OpenRouter 8192 $8.41 71.2
Auto Turbo OpenRouter 65536 $7.96 70.9
Grok 4 Nano xAI 16384 $8.97 72.7
Fusion Turbo OpenRouter 8192 $8.55 71.7
Mixtral Chat Mistral AI 65536 $3.30 72.6
GPT-5.2 Nano OpenAI 128000 $9.73 73.5
Llama 3.3 Base Meta AI 32768 $3.63 74.0

Other benchmarks for Mixtral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.1 303 50th
GPQA Diamond 70.6 247 59th
SWE-bench Verified 59.5 334 44th
HumanEval 78.6 276 54th
MATH-500 75.8 306 49th
AIME 2025 64.4 350 42th
LiveCodeBench 64.8 298 50th
TruthfulQA 73.8 360 40th
HellaSwag 83.7 295 51th
MMMU 70.4 286 52th
Arena Elo 1377.6 282 53th

FAQ

What score does Mixtral Chat get on IFEval?

Mixtral Chat scores 80.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral Chat rank on IFEval?

It ranks #321 of 600 models, in the 47th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral Chat 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 Chat cost?

Mixtral Chat costs $3.30 per million input tokens and $13.04 per million output tokens.

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