Preference · Meta AI

Llama 4 Scout 1.5B on Arena Elo: score, rank and what it means

Llama 4 Scout 1.5B scores 1222.2 on Arena Elo, placing it #533 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
1222.2
0–100 scale
Rank
#533
of 600
Percentile
11th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
279.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Llama 4 Scout 1.5B 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 1.5B sits at #533 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 279.7 points. The median model in this index scores 1373.8, which puts Llama 4 Scout 1.5B below the midpoint.

Meta AI models average 1342.5 on this benchmark. Llama 4 Scout 1.5B is 120.3 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 1224.7. Llama 4 Scout 1.5B is 2.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1222.2 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 $0.66 per million input tokens, Llama 4 Scout 1.5B 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
Mixtral Groq 7B Groq 4096 $0.70 53.4
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
GLM-4.5 1.5B Zhipu AI 16384 $0.65 53.3

Other benchmarks for Llama 4 Scout 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.9 539 10th
GPQA Diamond 50.2 521 13th
SWE-bench Verified 38.3 536 11th
HumanEval 55.6 538 10th
MATH-500 54.9 521 13th
AIME 2025 43.5 517 14th
LiveCodeBench 37.7 552 8th
IFEval 64.4 538 10th
TruthfulQA 59.1 539 10th
HellaSwag 71.1 519 14th
MMMU 49.8 555 8th

FAQ

What score does Llama 4 Scout 1.5B get on Arena Elo?

Llama 4 Scout 1.5B scores 1222.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Llama 4 Scout 1.5B rank on Arena Elo?

It ranks #533 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Llama 4 Scout 1.5B 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 1.5B cost?

Llama 4 Scout 1.5B costs $0.66 per million input tokens and $2.71 per million output tokens.

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