Llama 3.1 Cerebras 8B on GPQA Diamond: score, rank and what it means
Llama 3.1 Cerebras 8B scores 54.6 on GPQA Diamond, placing it #470 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Llama 3.1 Cerebras 8B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 8B sits at #470 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 32.4 points. The median model in this index scores 68.8, which puts Llama 3.1 Cerebras 8B below the midpoint.
Cerebras models average 62.2 on this benchmark. Llama 3.1 Cerebras 8B is 7.6 points below that provider line, so it is a weaker result than the average Cerebras model.
Among small open-weight models, the average is 49.3. Llama 3.1 Cerebras 8B is 5.3 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 54.6 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 $1.02 per million input tokens, Llama 3.1 Cerebras 8B 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Hunyuan-Large 8B | Tencent | 4096 | $1.29 | 58.7 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| GPT-NeoX | EleutherAI | 16384 | $1.57 | 61.7 |
| Llama 3 Modal 8B | Modal | 32768 | $0.98 | 56.6 |
| Llama 3.1 Cerebras 8B | Cerebras | 32768 | $1.02 | 58.2 |
| MiniMax-Text 7B | MiniMax | 16384 | $1.10 | 57.7 |
| GLM-4.5 7B | Zhipu AI | 8192 | $1.32 | 60.2 |
Other benchmarks for Llama 3.1 Cerebras 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 64.4 | 462 | 23th | |
| SWE-bench Verified | 41.6 | 504 | 16th | |
| HumanEval | 60.5 | 495 | 18th | |
| MATH-500 | 60.3 | 457 | 24th | |
| AIME 2025 | 47.2 | 475 | 21th | |
| LiveCodeBench | 47.0 | 475 | 21th | |
| IFEval | 68.9 | 475 | 21th | |
| TruthfulQA | 64.1 | 468 | 22th | |
| HellaSwag | 73.4 | 472 | 21th | |
| MMMU | 57.7 | 461 | 23th | |
| Arena Elo | 1254.4 | 483 | 20th |
FAQ
What score does Llama 3.1 Cerebras 8B get on GPQA Diamond?
Llama 3.1 Cerebras 8B scores 54.6 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 8B rank on GPQA Diamond?
It ranks #470 of 600 models, in the 22nd percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Llama 3.1 Cerebras 8B 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 8B cost?
Llama 3.1 Cerebras 8B costs $1.02 per million input tokens and $5.02 per million output tokens.