Instruction following · Meta AI

Llama 4 Scout on IFEval: score, rank and what it means

Llama 4 Scout scores 86.9 on IFEval, placing it #136 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
86.9
0–100 scale
Rank
#136
of 600
Percentile
77th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
9.2
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 4 Scout 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, Llama 4 Scout sits at #136 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 9.2 points. The median model in this index scores 81.2, which puts Llama 4 Scout above the midpoint.

Meta AI models average 77.8 on this benchmark. Llama 4 Scout is 9.1 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 85.2. Llama 4 Scout is 1.7 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 86.9 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 $4.90 per million input tokens, Llama 4 Scout is above 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
Llama 3.3 Meta AI 128000 $4.56 78.2
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
Gemini 3 Flash Vision Google DeepMind 400000 $15.06 81.9
Llama 4 Scout Meta AI 200000 $4.90 79.3
Command A Turbo Cohere 32768 $13.53 79.8
GPT-5.1 Mini OpenAI 128000 $12.19 77.7

Other benchmarks for Llama 4 Scout

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.9 123 80th
GPQA Diamond 74.1 165 73th
SWE-bench Verified 70.4 103 83th
HumanEval 86.5 96 84th
MATH-500 81.0 192 68th
AIME 2025 74.2 173 71th
LiveCodeBench 72.1 145 76th
TruthfulQA 82.1 128 79th
HellaSwag 88.9 114 81th
MMMU 74.1 188 69th
Arena Elo 1431.8 119 80th

FAQ

What score does Llama 4 Scout get on IFEval?

Llama 4 Scout scores 86.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 4 Scout rank on IFEval?

It ranks #136 of 600 models, in the 77th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 4 Scout 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 Llama 4 Scout cost?

Llama 4 Scout costs $4.90 per million input tokens and $24.91 per million output tokens.

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