Mathematics · Meta AI

Llama 4 Maverick Instruct on AIME 2025: score, rank and what it means

Llama 4 Maverick Instruct scores 79.9 on AIME 2025, placing it #91 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
79.9
0–100 scale
Rank
#91
of 600
Percentile
85th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
11.5
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 4 Maverick Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Llama 4 Maverick Instruct sits at #91 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 11.5 points. The median model in this index scores 67.6, which puts Llama 4 Maverick Instruct above the midpoint.

Meta AI models average 62.6 on this benchmark. Llama 4 Maverick Instruct is 17.3 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 73.9. Llama 4 Maverick Instruct is 6.0 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 79.9 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 $5.33 per million input tokens, Llama 4 Maverick Instruct is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Claude Haiku 4.5 Pro Anthropic 1000000 $15.07 80.8
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
GPT-4.1 OpenAI 1000000 $15.71 82.4
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
DeepSeek-V3.2 DeepSeek 1000000 $5.88 84.0

Other benchmarks for Llama 4 Maverick Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.6 70 88th
GPQA Diamond 79.5 67 89th
SWE-bench Verified 69.1 130 78th
HumanEval 85.0 117 81th
MATH-500 83.4 139 77th
LiveCodeBench 75.8 84 86th
IFEval 88.9 86 86th
TruthfulQA 84.0 84 86th
HellaSwag 89.6 98 84th
MMMU 79.0 73 88th
Arena Elo 1438.5 100 83th

FAQ

What score does Llama 4 Maverick Instruct get on AIME 2025?

Llama 4 Maverick Instruct scores 79.9 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 4 Maverick Instruct rank on AIME 2025?

It ranks #91 of 600 models, in the 85th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 4 Maverick Instruct good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Maverick Instruct cost?

Llama 4 Maverick Instruct costs $5.33 per million input tokens and $23.04 per million output tokens.

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