Reasoning · Cerebras

Llama 3.1 Cerebras on GPQA Diamond: score, rank and what it means

Llama 3.1 Cerebras scores 74.4 on GPQA Diamond, placing it #156 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
74.4
0–100 scale
Rank
#156
of 600
Percentile
74th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
12.6
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3.1 Cerebras highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Llama 3.1 Cerebras sits at #156 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 12.6 points. The median model in this index scores 68.8, which puts Llama 3.1 Cerebras above the midpoint.

Cerebras models average 62.2 on this benchmark. Llama 3.1 Cerebras is 12.2 points above that provider line, so it is a stronger result than the average Cerebras model.

Among multimodal models, the average is 73.5. Llama 3.1 Cerebras is 0.9 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 74.4 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command A Max Cohere 400000 $14.28 79.9
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Llama 3.3 Chat Meta AI 32768 $4.18 76.9
Nemotron 4 NVIDIA 65536 $4.18 76.6

Other benchmarks for Llama 3.1 Cerebras

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.4 295 51th
SWE-bench Verified 64.9 214 64th
HumanEval 81.3 204 66th
MATH-500 82.4 155 74th
AIME 2025 69.8 260 57th
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 GPQA Diamond?

Llama 3.1 Cerebras scores 74.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 3.1 Cerebras rank on GPQA Diamond?

It ranks #156 of 600 models, in the 74th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3.1 Cerebras good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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.

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