Reasoning · Cerebras

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

Llama 3.1 Cerebras Base scores 66.9 on GPQA Diamond, placing it #332 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
66.9
0–100 scale
Rank
#332
of 600
Percentile
45th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
20.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 3.1 Cerebras Base 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 Base sits at #332 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 20.1 points. The median model in this index scores 68.8, which puts Llama 3.1 Cerebras Base below the midpoint.

Cerebras models average 62.2 on this benchmark. Llama 3.1 Cerebras Base is 4.7 points above that provider line, so it is a stronger result than the average Cerebras model.

Among open-weight models, the average is 63.6. Llama 3.1 Cerebras Base is 3.3 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 66.9 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 $3.36 per million input tokens, Llama 3.1 Cerebras Base is below 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
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Phi-3.5 Microsoft 16384 $2.81 70.9
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Command A Mini Cohere 8192 $8.12 71.0
Command R+ Base Cohere 65536 $3.24 71.6

Other benchmarks for Llama 3.1 Cerebras Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.4 265 56th
SWE-bench Verified 58.6 347 42th
HumanEval 79.2 259 57th
MATH-500 74.2 342 43th
AIME 2025 67.8 298 50th
LiveCodeBench 67.7 231 62th
IFEval 82.7 253 58th
TruthfulQA 75.1 329 45th
HellaSwag 82.6 332 45th
MMMU 67.9 342 43th
Arena Elo 1387.0 259 57th

FAQ

What score does Llama 3.1 Cerebras Base get on GPQA Diamond?

Llama 3.1 Cerebras Base scores 66.9 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 Base rank on GPQA Diamond?

It ranks #332 of 600 models, in the 45th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 3.1 Cerebras Base good at GPQA Diamond?

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 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 Base cost?

Llama 3.1 Cerebras Base costs $3.36 per million input tokens and $15.59 per million output tokens.

Related