Preference · Meta AI

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

Llama 4 Scout Instruct scores 1429.1 on Arena Elo, placing it #122 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
1429.1
0–100 scale
Rank
#122
of 600
Percentile
80th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
72.8
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 4 Scout Instruct 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 Instruct sits at #122 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 72.8 points. The median model in this index scores 1373.8, which puts Llama 4 Scout Instruct above the midpoint.

Meta AI models average 1342.5 on this benchmark. Llama 4 Scout Instruct is 86.6 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 1409.6. Llama 4 Scout Instruct is 19.5 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 1429.1 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 $4.59 per million input tokens, Llama 4 Scout Instruct is above 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
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
Llama 4 Scout Meta AI 200000 $4.90 79.3
Gemini 3 Flash Vision Google DeepMind 400000 $15.06 81.9
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7

Other benchmarks for Llama 4 Scout Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.0 183 70th
GPQA Diamond 76.1 121 80th
SWE-bench Verified 70.1 108 82th
HumanEval 81.6 194 68th
MATH-500 84.7 114 81th
AIME 2025 77.3 125 79th
LiveCodeBench 73.8 113 81th
IFEval 85.2 185 69th
TruthfulQA 79.9 181 70th
HellaSwag 88.4 127 79th
MMMU 73.0 221 63th

FAQ

What score does Llama 4 Scout Instruct get on Arena Elo?

Llama 4 Scout Instruct scores 1429.1 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 4 Scout Instruct rank on Arena Elo?

It ranks #122 of 600 models, in the 80th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 4 Scout Instruct good at Arena Elo?

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 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 Instruct cost?

Llama 4 Scout Instruct costs $4.59 per million input tokens and $20.15 per million output tokens.

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