Instruction following · Mistral AI

Mistral Large 3 8B on IFEval: score, rank and what it means

Mistral Large 3 8B scores 73.7 on IFEval, placing it #408 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
73.7
0–100 scale
Rank
#408
of 600
Percentile
32th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
22.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Mistral Large 3 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, Mistral Large 3 8B sits at #408 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 22.4 points. The median model in this index scores 81.2, which puts Mistral Large 3 8B below the midpoint.

Mistral AI models average 76.5 on this benchmark. Mistral Large 3 8B is 2.8 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. Mistral Large 3 8B is 8.8 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 73.7 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 $1.62 per million input tokens, Mistral Large 3 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
Phi-3.5 Base Microsoft 65536 $2.24 66.6
Nova Pro Nano Amazon 8192 $5.44 65.4
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
Reka Flash Mini Reka AI 16384 $5.77 65.5
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Embed 4 Cohere 32768 $4.79 63.8

Other benchmarks for Mistral Large 3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.7 459 24th
GPQA Diamond 55.7 453 25th
SWE-bench Verified 48.9 430 28th
HumanEval 66.5 425 29th
MATH-500 61.0 452 25th
AIME 2025 53.3 430 28th
LiveCodeBench 52.1 429 29th
TruthfulQA 65.7 449 25th
HellaSwag 76.3 422 30th
MMMU 59.7 431 28th
Arena Elo 1301.3 417 31th

FAQ

What score does Mistral Large 3 8B get on IFEval?

Mistral Large 3 8B scores 73.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mistral Large 3 8B rank on IFEval?

It ranks #408 of 600 models, in the 32nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mistral Large 3 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 Mistral Large 3 8B cost?

Mistral Large 3 8B costs $1.62 per million input tokens and $6.82 per million output tokens.

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