Instruction following · Mistral AI

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

Mixtral Instruct scores 79.8 on IFEval, placing it #336 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
79.8
0–100 scale
Rank
#336
of 600
Percentile
44th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
16.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Mixtral Instruct 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 Instruct sits at #336 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 16.3 points. The median model in this index scores 81.2, which puts Mixtral Instruct below the midpoint.

Mistral AI models average 76.5 on this benchmark. Mixtral Instruct is 3.3 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 Instruct is 5.4 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 79.8 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Gemini 2.5 Pro Nano Google DeepMind 32768 $7.28 69.2
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Mixtral Instruct Mistral AI 65536 $3.35 72.9
Claude Opus 4.5 Nano Anthropic 32768 $9.38 73.3
Gemma 3 Base Google DeepMind 65536 $3.09 71.1

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
TruthfulQA 75.4 322 46th
HellaSwag 82.0 348 42th
MMMU 70.2 293 51th
Arena Elo 1362.7 338 44th

FAQ

What score does Mixtral Instruct get on IFEval?

Mixtral Instruct scores 79.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mixtral Instruct rank on IFEval?

It ranks #336 of 600 models, in the 44th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mixtral Instruct 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 Instruct cost?

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

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