Llama 3 Novita: pricing, context window and benchmarks
Llama 3 Novita is a multimodal model from Novita AI. It offers a 128,000-token context window, costs $3.70 per million input tokens and $18.84 per million output tokens, and averages 74.4 across the index's benchmark suite.
Pricing
Llama 3 Novita costs $3.70 per million input tokens and $18.84 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.49 per million tokens. Cached input is listed at $0.36 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.70 | per 1M tokens |
| Output | $18.84 | per 1M tokens |
| Cached input | $0.36 | per 1M tokens |
| Blended 3:1 | $7.49 | estimate per 1M tokens |
| 1M in + 1M out | $22.54 | 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 | 77.4 | 264 | 56th | |
| GPQA Diamond | 70.0 | 263 | 56th | |
| SWE-bench Verified | 61.8 | 285 | 53th | |
| HumanEval | 77.4 | 300 | 50th | |
| MATH-500 | 79.4 | 226 | 62th | |
| AIME 2025 | 69.3 | 273 | 55th | |
| LiveCodeBench | 66.9 | 254 | 58th | |
| IFEval | 82.8 | 249 | 59th | |
| TruthfulQA | 78.6 | 234 | 61th | |
| HellaSwag | 84.5 | 265 | 56th | |
| MMMU | 70.2 | 292 | 51th | |
| Arena Elo | 1397.6 | 215 | 64th |
What Llama 3 Novita is good for
Llama 3 Novita 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 $3.70 per million input tokens (hosted list price) and a 128,000-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- Input price of $3.70 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 |
|---|---|---|---|---|
| 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 |
| GPT-4.1 Mini | OpenAI | 128000 | $10.43 | 74.3 |
| Nova Lite Reasoning | Amazon | 32768 | $9.92 | 74.3 |
FAQ
How much does Llama 3 Novita cost?
Llama 3 Novita is listed at $3.70 per million input tokens and $18.84 per million output tokens. Cached input is $0.36 per million tokens. A blended 3:1 input-to-output mix is about $7.49 per million tokens.
What is the context window of Llama 3 Novita?
Llama 3 Novita has a context window of 128,000 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 Novita open weights?
Yes. Llama 3 Novita is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita score on benchmarks?
Llama 3 Novita averages 74.4 across the scored benchmarks in this index, ranking #266 of 600 models. Its strongest relative result is Arena Elo at 1397.6.
What is Llama 3 Novita best for?
Llama 3 Novita 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 $3.70 per million input tokens (hosted list price) and a 128,000-token context window, it is a practical option for teams that want more control than a closed API allows.