Instruction following · Meta AI

Llama 4 Scout 7B on IFEval: score, rank and what it means

Llama 4 Scout 7B scores 70.5 on IFEval, placing it #449 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
70.5
0–100 scale
Rank
#449
of 600
Percentile
25th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 4 Scout 7B 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 7B sits at #449 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.6 points. The median model in this index scores 81.2, which puts Llama 4 Scout 7B below the midpoint.

Meta AI models average 77.8 on this benchmark. Llama 4 Scout 7B is 7.3 points below that provider line, so it is a weaker result than the average Meta AI model.

Among small open-weight models, the average is 64.9. Llama 4 Scout 7B is 5.6 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 70.5 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 $1.30 per million input tokens, Llama 4 Scout 7B 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
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Sonar Nano Perplexity 4096 $4.37 61.9
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 8B Mistral AI 4096 $1.33 60.0
Codestral 8B Mistral AI 4096 $1.18 59.0

Other benchmarks for Llama 4 Scout 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.3 484 19th
GPQA Diamond 53.9 483 20th
SWE-bench Verified 45.9 454 24th
HumanEval 61.2 483 20th
MATH-500 61.4 449 25th
AIME 2025 53.1 433 28th
LiveCodeBench 51.3 435 28th
TruthfulQA 64.9 460 23th
HellaSwag 74.6 447 26th
MMMU 60.0 429 29th
Arena Elo 1265.6 468 22th

FAQ

What score does Llama 4 Scout 7B get on IFEval?

Llama 4 Scout 7B scores 70.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 4 Scout 7B rank on IFEval?

It ranks #449 of 600 models, in the 25th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 4 Scout 7B 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 Llama 4 Scout 7B cost?

Llama 4 Scout 7B costs $1.30 per million input tokens and $5.58 per million output tokens.

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