Llama 3 Novita Instruct: pricing, context window and benchmarks
Llama 3 Novita Instruct is a multimodal model from Novita AI. It offers a 32,768-token context window, costs $3.94 per million input tokens and $19.63 per million output tokens, and averages 75.6 across the index's benchmark suite.
Pricing
Llama 3 Novita Instruct costs $3.94 per million input tokens and $19.63 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.86 per million tokens. Cached input is listed at $0.43 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.94 | per 1M tokens |
| Output | $19.63 | per 1M tokens |
| Cached input | $0.43 | per 1M tokens |
| Blended 3:1 | $7.86 | estimate per 1M tokens |
| 1M in + 1M out | $23.57 | 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 | 77.5 | 260 | 57th | |
| GPQA Diamond | 73.8 | 175 | 71th | |
| SWE-bench Verified | 63.2 | 250 | 58th | |
| HumanEval | 82.2 | 182 | 70th | |
| MATH-500 | 79.9 | 212 | 65th | |
| AIME 2025 | 70.2 | 254 | 58th | |
| LiveCodeBench | 68.3 | 220 | 63th | |
| IFEval | 81.4 | 293 | 51th | |
| TruthfulQA | 80.1 | 174 | 71th | |
| HellaSwag | 84.5 | 266 | 56th | |
| MMMU | 70.9 | 273 | 55th | |
| Arena Elo | 1395.1 | 228 | 62th |
What Llama 3 Novita Instruct is good for
Llama 3 Novita Instruct 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 $3.94 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.94 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 Lambda | Lambda | 65536 | $3.90 | 75.6 |
| Llama 3 Novita Instruct | Novita AI | 32768 | $3.94 | 75.6 |
| Magistral Base | Mistral AI | 65536 | $3.86 | 75.6 |
| Reka Flash Reasoning | Reka AI | 32768 | $10.70 | 75.6 |
| Llama 3 DeepInfra Instruct | DeepInfra | 65536 | $3.84 | 75.5 |
| Yi-Lightning Chat | 01.AI | 32768 | $3.79 | 75.5 |
FAQ
How much does Llama 3 Novita Instruct cost?
Llama 3 Novita Instruct is listed at $3.94 per million input tokens and $19.63 per million output tokens. Cached input is $0.43 per million tokens. A blended 3:1 input-to-output mix is about $7.86 per million tokens.
What is the context window of Llama 3 Novita Instruct?
Llama 3 Novita Instruct has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 Novita Instruct open weights?
Yes. Llama 3 Novita Instruct is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita Instruct score on benchmarks?
Llama 3 Novita Instruct averages 75.6 across the scored benchmarks in this index, ranking #235 of 600 models. Its strongest relative result is Arena Elo at 1395.1.
What is Llama 3 Novita Instruct best for?
Llama 3 Novita Instruct 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 $3.94 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.