Mathematics · Cerebras

Llama 3.1 Cerebras on AIME 2025: score, rank and what it means

Llama 3.1 Cerebras scores 69.8 on AIME 2025, placing it #260 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
69.8
0–100 scale
Rank
#260
of 600
Percentile
57th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
21.6
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 3.1 Cerebras 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 3.1 Cerebras sits at #260 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 21.6 points. The median model in this index scores 67.6, which puts Llama 3.1 Cerebras above the midpoint.

Cerebras models average 58.7 on this benchmark. Llama 3.1 Cerebras is 11.1 points above that provider line, so it is a stronger result than the average Cerebras model.

Among multimodal models, the average is 73.9. Llama 3.1 Cerebras is 4.1 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 69.8 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 $4.01 per million input tokens, Llama 3.1 Cerebras 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
Llama 3 DeepInfra Instruct DeepInfra 65536 $3.84 75.5
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Llama 3 Lambda Lambda 65536 $3.90 75.6
Llama 3 Replicate Base Replicate 65536 $3.15 72.1
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Qwen3 Base Alibaba Cloud 65536 $4.33 77.4

Other benchmarks for Llama 3.1 Cerebras

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 295 51th
GPQA Diamond 74.4 156 74th
SWE-bench Verified 64.9 214 64th
HumanEval 81.3 204 66th
MATH-500 82.4 155 74th
LiveCodeBench 66.1 273 55th
IFEval 84.6 199 67th
TruthfulQA 80.6 166 72th
HellaSwag 85.1 239 60th
MMMU 70.1 298 50th
Arena Elo 1411.3 179 70th

FAQ

What score does Llama 3.1 Cerebras get on AIME 2025?

Llama 3.1 Cerebras scores 69.8 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 3.1 Cerebras rank on AIME 2025?

It ranks #260 of 600 models, in the 57th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 3.1 Cerebras 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 3.1 Cerebras cost?

Llama 3.1 Cerebras costs $4.01 per million input tokens and $15.13 per million output tokens.

Related