Llama 3 Hyperbolic 7B on IFEval: score, rank and what it means
Llama 3 Hyperbolic 7B scores 64.9 on IFEval, placing it #532 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, 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 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Llama 3 Hyperbolic 7B sits at #532 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 31.2 points. The median model in this index scores 81.2, which puts Llama 3 Hyperbolic 7B below the midpoint.
Hyperbolic models average 74.4 on this benchmark. Llama 3 Hyperbolic 7B is 9.5 points below that provider line, so it is a weaker result than the average Hyperbolic model.
Among small open-weight models, the average is 64.9. Llama 3 Hyperbolic 7B is 0.0 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 64.9 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 IFEval. 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 |
|---|---|---|---|---|
| GLM-4.5 1.5B | Zhipu AI | 16384 | $0.65 | 53.3 |
| Seed-OSS 7B | ByteDance | 8192 | $0.85 | 55.5 |
| Llama 3 Novita 8B | Novita AI | 16384 | $0.99 | 55.5 |
| Mixtral Groq 8B | Groq | 32768 | $0.77 | 54.8 |
| Llama 3 Hyperbolic 7B | Hyperbolic | 4096 | $0.94 | 55.6 |
| Yi-Large 7B | 01.AI | 4096 | $0.83 | 55.0 |
| DBRX 8B | Databricks | 4096 | $0.82 | 54.1 |
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 | |
| AIME 2025 | 43.9 | 509 | 15th | |
| LiveCodeBench | 46.1 | 486 | 19th | |
| 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 IFEval?
Llama 3 Hyperbolic 7B scores 64.9 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Llama 3 Hyperbolic 7B rank on IFEval?
It ranks #532 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Llama 3 Hyperbolic 7B good at IFEval?
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 IFEval score calculated?
IFEval is a instruction following 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.