Preference · Meta AI

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

Llama 4 Scout 7B scores 1265.6 on Arena Elo, placing it #468 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1265.6
0–100 scale
Rank
#468
of 600
Percentile
22th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
236.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 4 Scout 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Llama 4 Scout 7B sits at #468 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 236.3 points. The median model in this index scores 1373.8, which puts Llama 4 Scout 7B below the midpoint.

Meta AI models average 1342.5 on this benchmark. Llama 4 Scout 7B is 76.9 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 1224.7. Llama 4 Scout 7B is 40.9 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 1265.6 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Flash Nano Reka AI 16384 $3.93 61.0
Seed-OSS 8B ByteDance 8192 $1.05 57.1
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 7B Mistral AI 32768 $1.22 58.9
Fusion Nano OpenRouter 8192 $2.96 56.8

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
IFEval 70.5 449 25th
TruthfulQA 64.9 460 23th
HellaSwag 74.6 447 26th
MMMU 60.0 429 29th

FAQ

What score does Llama 4 Scout 7B get on Arena Elo?

Llama 4 Scout 7B scores 1265.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 4 Scout 7B rank on Arena Elo?

It ranks #468 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 4 Scout 7B good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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.

Related