Llama 3 Replicate Chat: pricing, context window and benchmarks
Llama 3 Replicate Chat is a multimodal model from Replicate. It offers a 200,000-token context window, costs $3.74 per million input tokens and $17.46 per million output tokens, and averages 74.7 across the index's benchmark suite.
Pricing
Llama 3 Replicate Chat costs $3.74 per million input tokens and $17.46 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.17 per million tokens. Cached input is listed at $0.39 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.74 | per 1M tokens |
| Output | $17.46 | per 1M tokens |
| Cached input | $0.39 | per 1M tokens |
| Blended 3:1 | $7.17 | estimate per 1M tokens |
| 1M in + 1M out | $21.20 | 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 | 261 | 57th | |
| GPQA Diamond | 67.3 | 325 | 46th | |
| SWE-bench Verified | 65.5 | 205 | 66th | |
| HumanEval | 79.6 | 245 | 59th | |
| MATH-500 | 76.0 | 300 | 50th | |
| AIME 2025 | 66.4 | 324 | 46th | |
| LiveCodeBench | 70.3 | 185 | 69th | |
| IFEval | 82.4 | 261 | 57th | |
| TruthfulQA | 79.7 | 194 | 68th | |
| HellaSwag | 84.7 | 259 | 57th | |
| MMMU | 72.4 | 233 | 61th | |
| Arena Elo | 1395.7 | 224 | 63th |
What Llama 3 Replicate Chat is good for
Llama 3 Replicate 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 $3.74 per million input tokens (hosted list price) and a 200,000-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Input price of $3.74 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 Modal | Modal | 32768 | $3.82 | 74.9 |
| Llama 3 Anyscale | Anyscale | 65536 | $3.94 | 74.7 |
| Llama 3 Lambda Chat | Lambda | 32768 | $3.73 | 74.7 |
| Llama 3 Replicate Chat | Replicate | 200000 | $3.74 | 74.7 |
| Phi-4 Chat | Microsoft | 65536 | $3.66 | 74.7 |
| Llama 3 Anyscale Chat | Anyscale | 65536 | $3.67 | 74.6 |
FAQ
How much does Llama 3 Replicate Chat cost?
Llama 3 Replicate Chat is listed at $3.74 per million input tokens and $17.46 per million output tokens. Cached input is $0.39 per million tokens. A blended 3:1 input-to-output mix is about $7.17 per million tokens.
What is the context window of Llama 3 Replicate Chat?
Llama 3 Replicate Chat has a context window of 200,000 tokens and can emit up to 128,000 output tokens per request in this index.
Is Llama 3 Replicate Chat open weights?
Yes. Llama 3 Replicate Chat is listed as an open-weight model under a open weights licence.
How does Llama 3 Replicate Chat score on benchmarks?
Llama 3 Replicate Chat averages 74.7 across the scored benchmarks in this index, ranking #261 of 600 models. Its strongest relative result is Arena Elo at 1395.7.
What is Llama 3 Replicate Chat best for?
Llama 3 Replicate 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 $3.74 per million input tokens (hosted list price) and a 200,000-token context window, it is a practical option for teams that want more control than a closed API allows.