Llama 3 Novita 8B: pricing, context window and benchmarks
Llama 3 Novita 8B is a small open-weight model from Novita AI. It offers a 16,384-token context window, costs $0.99 per million input tokens and $3.71 per million output tokens, and averages 55.5 across the index's benchmark suite.
Pricing
Llama 3 Novita 8B costs $0.99 per million input tokens and $3.71 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.67 per million tokens. Cached input is listed at $0.09 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.99 | per 1M tokens |
| Output | $3.71 | per 1M tokens |
| Cached input | $0.09 | per 1M tokens |
| Blended 3:1 | $1.67 | estimate per 1M tokens |
| 1M in + 1M out | $4.70 | 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 | 61.5 | 509 | 15th | |
| GPQA Diamond | 48.9 | 534 | 11th | |
| SWE-bench Verified | 40.1 | 520 | 13th | |
| HumanEval | 59.4 | 510 | 15th | |
| MATH-500 | 59.2 | 475 | 21th | |
| AIME 2025 | 46.9 | 479 | 20th | |
| LiveCodeBench | 43.8 | 509 | 15th | |
| IFEval | 65.2 | 530 | 12th | |
| TruthfulQA | 60.3 | 526 | 12th | |
| HellaSwag | 73.5 | 467 | 22th | |
| MMMU | 52.1 | 528 | 12th | |
| Arena Elo | 1242.2 | 505 | 16th |
What Llama 3 Novita 8B is good for
Llama 3 Novita 8B 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 $0.99 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.99 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 16,384 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 |
|---|---|---|---|---|
| Firesearch Nano | Fireworks AI | 8192 | $2.49 | 55.6 |
| Llama 3 DeepInfra 7B | DeepInfra | 16384 | $0.95 | 55.6 |
| Llama 3 Hyperbolic 7B | Hyperbolic | 4096 | $0.94 | 55.6 |
| Llama 3 Novita 8B | Novita AI | 16384 | $0.99 | 55.5 |
| Seed-OSS 7B | ByteDance | 8192 | $0.85 | 55.5 |
| Mistral Large 3 1.5B | Mistral AI | 32768 | $0.82 | 55.4 |
FAQ
How much does Llama 3 Novita 8B cost?
Llama 3 Novita 8B is listed at $0.99 per million input tokens and $3.71 per million output tokens. Cached input is $0.090 per million tokens. A blended 3:1 input-to-output mix is about $1.67 per million tokens.
What is the context window of Llama 3 Novita 8B?
Llama 3 Novita 8B has a context window of 16,384 tokens and can emit up to 16,384 output tokens per request in this index.
Is Llama 3 Novita 8B open weights?
Yes. Llama 3 Novita 8B is listed as an open-weight model under a open weights licence.
How does Llama 3 Novita 8B score on benchmarks?
Llama 3 Novita 8B averages 55.5 across the scored benchmarks in this index, ranking #514 of 600 models. Its strongest relative result is Arena Elo at 1242.2.
What is Llama 3 Novita 8B best for?
Llama 3 Novita 8B 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 $0.99 per million input tokens it can handle a large share of production traffic.