Llama 3.1 Cerebras 7B on Arena Elo: score, rank and what it means
Llama 3.1 Cerebras 7B scores 1262.0 on Arena Elo, placing it #471 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.
Score distribution
The chart shows the top 10 models on Arena Elo, with Llama 3.1 Cerebras 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 2 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 3 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 6 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 7 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 10 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
What this score means
On Arena Elo, Llama 3.1 Cerebras 7B sits at #471 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 239.9 points. The median model in this index scores 1373.8, which puts Llama 3.1 Cerebras 7B below the midpoint.
Cerebras models average 1327.5 on this benchmark. Llama 3.1 Cerebras 7B is 65.5 points below that provider line, so it is a weaker result than the average Cerebras model.
Among small open-weight models, the average is 1224.7. Llama 3.1 Cerebras 7B is 37.3 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 1262.0 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 $0.95 per million input tokens, Llama 3.1 Cerebras 7B is below the median input price of $4.00 across the 600 models scored on Arena Elo. 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 |
|---|---|---|---|---|
| Firefunction Nano | Fireworks AI | 16384 | $3.07 | 58.1 |
| Llama 4 Scout 7B | Meta AI | 32768 | $1.30 | 60.0 |
| Magistral 7B | Mistral AI | 32768 | $1.22 | 58.9 |
| Fusion Nano | OpenRouter | 8192 | $2.96 | 56.8 |
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Yi-Lightning 7B | 01.AI | 32768 | $1.00 | 55.9 |
| DeepSeek-Coder 7B | DeepSeek | 32768 | $1.14 | 57.3 |
Other benchmarks for Llama 3.1 Cerebras 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.9 | 490 | 18th | |
| GPQA Diamond | 51.7 | 502 | 16th | |
| SWE-bench Verified | 41.5 | 506 | 16th | |
| HumanEval | 60.3 | 500 | 17th | |
| MATH-500 | 55.8 | 509 | 15th | |
| AIME 2025 | 44.6 | 500 | 17th | |
| LiveCodeBench | 47.3 | 472 | 21th | |
| IFEval | 69.2 | 472 | 21th | |
| TruthfulQA | 61.9 | 506 | 16th | |
| HellaSwag | 73.7 | 461 | 23th | |
| MMMU | 52.4 | 525 | 13th |
FAQ
What score does Llama 3.1 Cerebras 7B get on Arena Elo?
Llama 3.1 Cerebras 7B scores 1262.0 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Llama 3.1 Cerebras 7B rank on Arena Elo?
It ranks #471 of 600 models, in the 22nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Llama 3.1 Cerebras 7B good at Arena Elo?
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 Arena Elo score calculated?
Arena Elo is a preference 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 7B cost?
Llama 3.1 Cerebras 7B costs $0.95 per million input tokens and $4.53 per million output tokens.