Llama 3 Hyperbolic 8B on Arena Elo: score, rank and what it means
Llama 3 Hyperbolic 8B scores 1245.3 on Arena Elo, placing it #498 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 Hyperbolic 8B 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 Hyperbolic 8B sits at #498 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 256.6 points. The median model in this index scores 1373.8, which puts Llama 3 Hyperbolic 8B below the midpoint.
Hyperbolic models average 1315.8 on this benchmark. Llama 3 Hyperbolic 8B is 70.5 points below that provider line, so it is a weaker result than the average Hyperbolic model.
Among small open-weight models, the average is 1224.7. Llama 3 Hyperbolic 8B is 20.6 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 1245.3 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 $0.92 per million input tokens, Llama 3 Hyperbolic 8B 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 |
|---|---|---|---|---|
| Mixtral Groq 8B | Groq | 32768 | $0.77 | 54.8 |
| Nemotron 4 8B | NVIDIA | 4096 | $1.06 | 57.9 |
| Mistral Small 3 7B | Mistral AI | 4096 | $0.89 | 55.2 |
| Llama 3.1 Turbo 7B | Together AI | 8192 | $0.98 | 56.4 |
| Llama 3 Hyperbolic 8B | Hyperbolic | 16384 | $0.92 | 56.0 |
| Nemotron 4 7B | NVIDIA | 16384 | $1.05 | 56.9 |
| Codestral 7B | Mistral AI | 32768 | $1.05 | 57.0 |
Other benchmarks for Llama 3 Hyperbolic 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.1 | 501 | 17th | |
| GPQA Diamond | 50.6 | 516 | 14th | |
| SWE-bench Verified | 44.3 | 474 | 21th | |
| HumanEval | 58.5 | 518 | 14th | |
| MATH-500 | 55.9 | 506 | 16th | |
| AIME 2025 | 47.1 | 476 | 21th | |
| LiveCodeBench | 46.7 | 481 | 20th | |
| IFEval | 65.9 | 519 | 14th | |
| TruthfulQA | 60.7 | 522 | 13th | |
| HellaSwag | 70.8 | 526 | 12th | |
| MMMU | 53.8 | 510 | 15th |
FAQ
What score does Llama 3 Hyperbolic 8B get on Arena Elo?
Llama 3 Hyperbolic 8B scores 1245.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.
How does Llama 3 Hyperbolic 8B rank on Arena Elo?
It ranks #498 of 600 models, in the 17th percentile. The leader is Claude Opus 4.5 Max at 1501.9.
Is Llama 3 Hyperbolic 8B 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 Hyperbolic 8B cost?
Llama 3 Hyperbolic 8B costs $0.92 per million input tokens and $4.50 per million output tokens.