Instruction following · Meta AI

Llama 4 Scout 8B on IFEval: score, rank and what it means

Llama 4 Scout 8B scores 71.8 on IFEval, placing it #430 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
71.8
0–100 scale
Rank
#430
of 600
Percentile
28th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
24.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Llama 4 Scout 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, Llama 4 Scout 8B sits at #430 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 24.3 points. The median model in this index scores 81.2, which puts Llama 4 Scout 8B below the midpoint.

Meta AI models average 77.8 on this benchmark. Llama 4 Scout 8B is 6.0 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 8B is 6.9 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 71.8 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 $1.46 per million input tokens, Llama 4 Scout 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
Auto Mini OpenRouter 4096 $4.24 61.6
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Pythia Instruct EleutherAI 8192 $1.41 60.8
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Zephyr Chat Hugging Face 4096 $1.49 61.3

Other benchmarks for Llama 4 Scout 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.5 425 29th
GPQA Diamond 58.9 418 30th
SWE-bench Verified 48.1 436 27th
HumanEval 66.3 426 29th
MATH-500 62.7 439 27th
AIME 2025 50.2 458 24th
LiveCodeBench 49.7 452 25th
TruthfulQA 65.8 446 26th
HellaSwag 73.7 462 23th
MMMU 58.1 457 24th
Arena Elo 1266.8 466 22th

FAQ

What score does Llama 4 Scout 8B get on IFEval?

Llama 4 Scout 8B scores 71.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Llama 4 Scout 8B rank on IFEval?

It ranks #430 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Llama 4 Scout 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 Llama 4 Scout 8B cost?

Llama 4 Scout 8B costs $1.46 per million input tokens and $6.51 per million output tokens.

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