Llama 3 Hyperbolic 7B on AIME 2025: score, rank and what it means
Llama 3 Hyperbolic 7B scores 43.9 on AIME 2025, placing it #509 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 7B 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 7B sits at #509 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 47.5 points. The median model in this index scores 67.6, which puts Llama 3 Hyperbolic 7B below the midpoint.
Hyperbolic models average 57.9 on this benchmark. Llama 3 Hyperbolic 7B is 14.0 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 7B is 2.3 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 43.9 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 $0.94 per million input tokens, Llama 3 Hyperbolic 7B 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 |
|---|---|---|---|---|
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Llama 3 Novita 7B | Novita AI | 8192 | $0.92 | 56.3 |
| Nemotron 4 7B | NVIDIA | 16384 | $1.05 | 56.9 |
| Embed 4 Mini | Cohere | 4096 | $2.48 | 55.8 |
| Llama 3 Hyperbolic 7B | Hyperbolic | 4096 | $0.94 | 55.6 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
| DeepSeek-Coder 7B | DeepSeek | 32768 | $1.14 | 57.3 |
Other benchmarks for Llama 3 Hyperbolic 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 60.7 | 519 | 14th | |
| GPQA Diamond | 50.1 | 522 | 13th | |
| SWE-bench Verified | 40.6 | 515 | 14th | |
| HumanEval | 60.8 | 492 | 18th | |
| MATH-500 | 55.1 | 520 | 13th | |
| LiveCodeBench | 46.1 | 486 | 19th | |
| IFEval | 64.9 | 532 | 11th | |
| TruthfulQA | 63.0 | 490 | 18th | |
| HellaSwag | 72.1 | 492 | 18th | |
| MMMU | 53.8 | 509 | 15th | |
| Arena Elo | 1249.5 | 492 | 18th |
FAQ
What score does Llama 3 Hyperbolic 7B get on AIME 2025?
Llama 3 Hyperbolic 7B scores 43.9 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.
How does Llama 3 Hyperbolic 7B rank on AIME 2025?
It ranks #509 of 600 models, in the 15th percentile. The leader is Claude Opus 4.5 Pro at 91.4.
Is Llama 3 Hyperbolic 7B 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 7B cost?
Llama 3 Hyperbolic 7B costs $0.94 per million input tokens and $3.67 per million output tokens.