Llama 3 Novita 7B: pricing, context window and benchmarks
Llama 3 Novita 7B is a small open-weight model from Novita AI. It offers a 8,192-token context window, costs $0.92 per million input tokens and $4.91 per million output tokens, and averages 56.3 across the index's benchmark suite.
Pricing
Llama 3 Novita 7B costs $0.92 per million input tokens and $4.91 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.92 per million tokens. Cached input is listed at $0.08 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.92 | per 1M tokens |
| Output | $4.91 | per 1M tokens |
| Cached input | $0.08 | per 1M tokens |
| Blended 3:1 | $1.92 | estimate per 1M tokens |
| 1M in + 1M out | $5.83 | 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 | 60.0 | 528 | 12th | |
| GPQA Diamond | 49.1 | 533 | 11th | |
| SWE-bench Verified | 42.4 | 496 | 17th | |
| HumanEval | 60.2 | 502 | 16th | |
| MATH-500 | 56.5 | 501 | 17th | |
| AIME 2025 | 44.2 | 506 | 16th | |
| LiveCodeBench | 45.4 | 496 | 17th | |
| IFEval | 68.0 | 487 | 19th | |
| TruthfulQA | 63.2 | 485 | 19th | |
| HellaSwag | 73.1 | 477 | 21th | |
| MMMU | 57.1 | 468 | 22th | |
| Arena Elo | 1249.7 | 491 | 18th |
What Llama 3 Novita 7B is good for
Llama 3 Novita 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.92 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.92 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
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.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Llama 3.1 Turbo 7B | Together AI | 8192 | $0.98 | 56.4 |
| Llama 3 Novita 7B | Novita AI | 8192 | $0.92 | 56.3 |
| Command R+ 7B | Cohere | 8192 | $0.95 | 56.2 |
| Llama 3 Anyscale 7B | Anyscale | 4096 | $0.98 | 56.2 |
| Yi-Large 8B | 01.AI | 32768 | $0.88 | 56.1 |
FAQ
How much does Llama 3 Novita 7B cost?
Llama 3 Novita 7B is listed at $0.92 per million input tokens and $4.91 per million output tokens. Cached input is $0.082 per million tokens. A blended 3:1 input-to-output mix is about $1.92 per million tokens.
What is the context window of Llama 3 Novita 7B?
Llama 3 Novita 7B 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 7B open weights?
Yes. Llama 3 Novita 7B is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita 7B score on benchmarks?
Llama 3 Novita 7B averages 56.3 across the scored benchmarks in this index, ranking #501 of 600 models. Its strongest relative result is Arena Elo at 1249.7.
What is Llama 3 Novita 7B best for?
Llama 3 Novita 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.92 per million input tokens it can handle a large share of production traffic.