Llama 3 Hyperbolic: pricing, context window and benchmarks
Llama 3 Hyperbolic is a multimodal model from Hyperbolic. It offers a 65,536-token context window, costs $3.86 per million input tokens and $19.72 per million output tokens, and averages 74.5 across the index's benchmark suite.
Pricing
Llama 3 Hyperbolic costs $3.86 per million input tokens and $19.72 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.82 per million tokens. Cached input is listed at $0.51 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.86 | per 1M tokens |
| Output | $19.72 | per 1M tokens |
| Cached input | $0.51 | per 1M tokens |
| Blended 3:1 | $7.82 | estimate per 1M tokens |
| 1M in + 1M out | $23.58 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.2 | 238 | 60th | |
| GPQA Diamond | 72.6 | 206 | 66th | |
| SWE-bench Verified | 64.4 | 223 | 63th | |
| HumanEval | 79.3 | 255 | 58th | |
| MATH-500 | 76.3 | 292 | 51th | |
| AIME 2025 | 66.8 | 316 | 47th | |
| LiveCodeBench | 64.0 | 318 | 47th | |
| IFEval | 83.7 | 218 | 64th | |
| TruthfulQA | 75.9 | 309 | 49th | |
| HellaSwag | 85.3 | 231 | 62th | |
| MMMU | 73.0 | 219 | 64th | |
| Arena Elo | 1391.3 | 245 | 59th |
What Llama 3 Hyperbolic is good for
Llama 3 Hyperbolic is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.86 per million input tokens (hosted list price) and a 65,536-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.86 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Anyscale | Anyscale | 65536 | $3.94 | 74.7 |
| Llama 3 Anyscale Chat | Anyscale | 65536 | $3.67 | 74.6 |
| Gemma 3 Chat | Google DeepMind | 65536 | $3.74 | 74.5 |
| Llama 3 Hyperbolic | Hyperbolic | 65536 | $3.86 | 74.5 |
| Llama 3 Novita | Novita AI | 128000 | $3.70 | 74.4 |
| Seed-OSS Chat | ByteDance | 65536 | $3.49 | 74.4 |
FAQ
How much does Llama 3 Hyperbolic cost?
Llama 3 Hyperbolic is listed at $3.86 per million input tokens and $19.72 per million output tokens. Cached input is $0.51 per million tokens. A blended 3:1 input-to-output mix is about $7.82 per million tokens.
What is the context window of Llama 3 Hyperbolic?
Llama 3 Hyperbolic has a context window of 65,536 tokens and can emit up to 65,536 output tokens per request in this index.
Is Llama 3 Hyperbolic open weights?
Yes. Llama 3 Hyperbolic is listed as an open-weight model under a open weights licence.
How does Llama 3 Hyperbolic score on benchmarks?
Llama 3 Hyperbolic averages 74.5 across the scored benchmarks in this index, ranking #265 of 600 models. Its strongest relative result is Arena Elo at 1391.3.
What is Llama 3 Hyperbolic best for?
Llama 3 Hyperbolic is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.86 per million input tokens (hosted list price) and a 65,536-token context window, it is a practical option for teams that want more control than a closed API allows.