Llama 3 Replicate 8B: pricing, context window and benchmarks
Llama 3 Replicate 8B is a small open-weight model from Replicate. It offers a 32,768-token context window, costs $1.00 per million input tokens and $4.35 per million output tokens, and averages 57.0 across the index's benchmark suite.
Pricing
Llama 3 Replicate 8B costs $1.00 per million input tokens and $4.35 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.84 per million tokens. Cached input is listed at $0.14 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.00 | per 1M tokens |
| Output | $4.35 | per 1M tokens |
| Cached input | $0.14 | per 1M tokens |
| Blended 3:1 | $1.84 | estimate per 1M tokens |
| 1M in + 1M out | $5.35 | 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 | 60.5 | 522 | 13th | |
| GPQA Diamond | 54.7 | 467 | 22th | |
| SWE-bench Verified | 42.4 | 497 | 17th | |
| HumanEval | 61.5 | 475 | 21th | |
| MATH-500 | 58.5 | 485 | 19th | |
| AIME 2025 | 42.6 | 529 | 12th | |
| LiveCodeBench | 48.2 | 464 | 23th | |
| IFEval | 67.4 | 496 | 17th | |
| TruthfulQA | 63.7 | 476 | 21th | |
| HellaSwag | 71.0 | 521 | 13th | |
| MMMU | 56.6 | 478 | 20th | |
| Arena Elo | 1240.8 | 510 | 15th |
What Llama 3 Replicate 8B is good for
Llama 3 Replicate 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 $1.00 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.00 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- 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 |
|---|---|---|---|---|
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
| Codestral 7B | Mistral AI | 32768 | $1.05 | 57.0 |
| Llama 3 Baseten 8B | Baseten | 4096 | $1.02 | 57.0 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| DeepSeek-V3.2 1.5B | DeepSeek | 4096 | $1.02 | 56.9 |
FAQ
How much does Llama 3 Replicate 8B cost?
Llama 3 Replicate 8B is listed at $1.00 per million input tokens and $4.35 per million output tokens. Cached input is $0.14 per million tokens. A blended 3:1 input-to-output mix is about $1.84 per million tokens.
What is the context window of Llama 3 Replicate 8B?
Llama 3 Replicate 8B has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Llama 3 Replicate 8B open weights?
Yes. Llama 3 Replicate 8B is listed as an open-weight model under a open weights licence.
How does Llama 3 Replicate 8B score on benchmarks?
Llama 3 Replicate 8B averages 57.0 across the scored benchmarks in this index, ranking #489 of 600 models. Its strongest relative result is Arena Elo at 1240.8.
What is Llama 3 Replicate 8B best for?
Llama 3 Replicate 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 $1.00 per million input tokens it can handle a large share of production traffic.