Llama 3 Hyperbolic 8B on AIME 2025: score, rank and what it means
Llama 3 Hyperbolic 8B scores 47.1 on AIME 2025, placing it #476 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.
Score distribution
The chart shows the top 10 models on AIME 2025, 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 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 5 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 6 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
| 7 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 8 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
What this score means
On AIME 2025, Llama 3 Hyperbolic 8B sits at #476 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 44.3 points. The median model in this index scores 67.6, which puts Llama 3 Hyperbolic 8B below the midpoint.
Hyperbolic models average 57.9 on this benchmark. Llama 3 Hyperbolic 8B is 10.8 points below that provider line, so it is a weaker result than the average Hyperbolic model.
Among small open-weight models, the average is 41.6. Llama 3 Hyperbolic 8B is 5.5 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 47.1 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 AIME 2025. 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 |
|---|---|---|---|---|
| Mistral Large 3 1.5B | Mistral AI | 32768 | $0.82 | 55.4 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
| Mistral Small 3 7B | Mistral AI | 4096 | $0.89 | 55.2 |
| Llama 3.1 Cerebras 8B | Cerebras | 32768 | $1.02 | 58.2 |
| Llama 3 Hyperbolic 8B | Hyperbolic | 16384 | $0.92 | 56.0 |
| QwQ 8B | Alibaba Cloud | 16384 | $1.37 | 59.5 |
| Llama 3 Anyscale 8B | Anyscale | 32768 | $0.97 | 57.3 |
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 | |
| 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 | |
| Arena Elo | 1245.3 | 498 | 17th |
FAQ
What score does Llama 3 Hyperbolic 8B get on AIME 2025?
Llama 3 Hyperbolic 8B scores 47.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.
How does Llama 3 Hyperbolic 8B rank on AIME 2025?
It ranks #476 of 600 models, in the 21st percentile. The leader is Claude Opus 4.5 Pro at 91.4.
Is Llama 3 Hyperbolic 8B good at AIME 2025?
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 AIME 2025 score calculated?
AIME 2025 is a mathematics 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.