Llama 3 Novita Chat: pricing, context window and benchmarks
Llama 3 Novita Chat is a multimodal model from Novita AI. It offers a 65,536-token context window, costs $3.50 per million input tokens and $17.98 per million output tokens, and averages 74.2 across the index's benchmark suite.
Pricing
Llama 3 Novita Chat costs $3.50 per million input tokens and $17.98 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.12 per million tokens. Cached input is listed at $0.31 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.50 | per 1M tokens |
| Output | $17.98 | per 1M tokens |
| Cached input | $0.31 | per 1M tokens |
| Blended 3:1 | $7.12 | estimate per 1M tokens |
| 1M in + 1M out | $21.48 | 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 | 76.5 | 291 | 52th | |
| GPQA Diamond | 69.8 | 271 | 55th | |
| SWE-bench Verified | 61.6 | 290 | 52th | |
| HumanEval | 77.8 | 291 | 52th | |
| MATH-500 | 76.1 | 296 | 51th | |
| AIME 2025 | 72.0 | 219 | 64th | |
| LiveCodeBench | 66.5 | 263 | 56th | |
| IFEval | 82.1 | 274 | 54th | |
| TruthfulQA | 78.9 | 223 | 63th | |
| HellaSwag | 83.5 | 306 | 49th | |
| MMMU | 71.5 | 256 | 57th | |
| Arena Elo | 1368.4 | 324 | 46th |
What Llama 3 Novita Chat is good for
Llama 3 Novita Chat 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 $3.50 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 $3.50 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 |
|---|---|---|---|---|
| GPT-4.1 Mini | OpenAI | 128000 | $10.43 | 74.3 |
| Nova Lite Reasoning | Amazon | 32768 | $9.92 | 74.3 |
| Gemini 2.5 Pro Mini | Google DeepMind | 128000 | $10.07 | 74.2 |
| Llama 3 Novita Chat | Novita AI | 65536 | $3.50 | 74.2 |
| Gemma 3 Instruct | Google DeepMind | 128000 | $3.72 | 74.1 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
FAQ
How much does Llama 3 Novita Chat cost?
Llama 3 Novita Chat is listed at $3.50 per million input tokens and $17.98 per million output tokens. Cached input is $0.31 per million tokens. A blended 3:1 input-to-output mix is about $7.12 per million tokens.
What is the context window of Llama 3 Novita Chat?
Llama 3 Novita Chat has a context window of 65,536 tokens and can emit up to 16,384 output tokens per request in this index.
Is Llama 3 Novita Chat open weights?
Yes. Llama 3 Novita Chat is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita Chat score on benchmarks?
Llama 3 Novita Chat averages 74.2 across the scored benchmarks in this index, ranking #271 of 600 models. Its strongest relative result is Arena Elo at 1368.4.
What is Llama 3 Novita Chat best for?
Llama 3 Novita Chat 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 $3.50 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.