Llama 3 Novita Base: pricing, context window and benchmarks
Llama 3 Novita Base is a open-weight model from Novita AI. It offers a 8,192-token context window, costs $3.06 per million input tokens and $13.44 per million output tokens, and averages 70.3 across the index's benchmark suite.
Pricing
Llama 3 Novita Base costs $3.06 per million input tokens and $13.44 per million output tokens. A blended 3:1 input-to-output mix works out to about $5.65 per million tokens. Cached input is listed at $0.32 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.06 | per 1M tokens |
| Output | $13.44 | per 1M tokens |
| Cached input | $0.32 | per 1M tokens |
| Blended 3:1 | $5.65 | estimate per 1M tokens |
| 1M in + 1M out | $16.50 | 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 | 74.4 | 344 | 43th | |
| GPQA Diamond | 67.8 | 314 | 48th | |
| SWE-bench Verified | 56.9 | 368 | 39th | |
| HumanEval | 73.3 | 368 | 39th | |
| MATH-500 | 71.9 | 367 | 39th | |
| AIME 2025 | 62.5 | 371 | 38th | |
| LiveCodeBench | 60.4 | 363 | 40th | |
| IFEval | 79.2 | 351 | 42th | |
| TruthfulQA | 76.5 | 293 | 51th | |
| HellaSwag | 82.3 | 341 | 43th | |
| MMMU | 67.7 | 350 | 42th | |
| Arena Elo | 1360.8 | 342 | 43th |
What Llama 3 Novita Base is good for
Llama 3 Novita Base 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 $3.06 per million input tokens (hosted list price) and a 8,192-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.06 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
- Context window of 8,192 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GPT-4.1 Nano | OpenAI | 32768 | $7.42 | 70.5 |
| Firesearch Pro | Fireworks AI | 32768 | $7.67 | 70.4 |
| Llama 3 Novita Base | Novita AI | 8192 | $3.06 | 70.3 |
| Sonar Pro Mini | Perplexity | 8192 | $8.02 | 70.3 |
| Yi-Large Base | 01.AI | 16384 | $2.78 | 70.3 |
| Auto | OpenRouter | 32768 | $7.53 | 70.2 |
FAQ
How much does Llama 3 Novita Base cost?
Llama 3 Novita Base is listed at $3.06 per million input tokens and $13.44 per million output tokens. Cached input is $0.32 per million tokens. A blended 3:1 input-to-output mix is about $5.65 per million tokens.
What is the context window of Llama 3 Novita Base?
Llama 3 Novita Base has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 Novita Base open weights?
Yes. Llama 3 Novita Base is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita Base score on benchmarks?
Llama 3 Novita Base averages 70.3 across the scored benchmarks in this index, ranking #359 of 600 models. Its strongest relative result is Arena Elo at 1360.8.
What is Llama 3 Novita Base best for?
Llama 3 Novita Base 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 $3.06 per million input tokens (hosted list price) and a 8,192-token context window, it is a practical option for teams that want more control than a closed API allows.