Llama 4 Scout Chat: pricing, context window and benchmarks
Llama 4 Scout Chat is a multimodal model from Meta AI. It offers a 32,768-token context window, costs $4.66 per million input tokens and $18.41 per million output tokens, and averages 78.0 across the index's benchmark suite.
Pricing
Llama 4 Scout Chat costs $4.66 per million input tokens and $18.41 per million output tokens. A blended 3:1 input-to-output mix works out to about $8.10 per million tokens. Cached input is listed at $0.47 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.66 | per 1M tokens |
| Output | $18.41 | per 1M tokens |
| Cached input | $0.47 | per 1M tokens |
| Blended 3:1 | $8.10 | estimate per 1M tokens |
| 1M in + 1M out | $23.07 | 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 | 79.2 | 204 | 66th | |
| GPQA Diamond | 77.1 | 104 | 83th | |
| SWE-bench Verified | 65.3 | 208 | 65th | |
| HumanEval | 83.2 | 158 | 74th | |
| MATH-500 | 80.3 | 204 | 66th | |
| AIME 2025 | 76.8 | 132 | 78th | |
| LiveCodeBench | 68.3 | 222 | 63th | |
| IFEval | 85.4 | 177 | 71th | |
| TruthfulQA | 78.7 | 229 | 62th | |
| HellaSwag | 87.5 | 159 | 74th | |
| MMMU | 76.4 | 128 | 79th | |
| Arena Elo | 1407.5 | 188 | 69th |
What Llama 4 Scout Chat is good for
Llama 4 Scout Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.66 per million input tokens, it sits in the mid-range of the index, and the 32,768-token context window is enough for large files and multi-file diffs.
Strengths
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
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 |
|---|---|---|---|---|
| DeepSeek-Coder | DeepSeek | 32768 | $4.55 | 78.1 |
| Gemini 3 Pro Mini | Google DeepMind | 128000 | $12.27 | 78.1 |
| Hunyuan-Large Chat | Tencent | 200000 | $4.35 | 78.1 |
| Qwen3-Coder Instruct | Alibaba Cloud | 128000 | $4.66 | 78.1 |
| ERNIE 4.0 Turbo | Baidu | 65536 | $12.00 | 78.0 |
| Llama 4 Scout Chat | Meta AI | 32768 | $4.66 | 78.0 |
FAQ
How much does Llama 4 Scout Chat cost?
Llama 4 Scout Chat is listed at $4.66 per million input tokens and $18.41 per million output tokens. Cached input is $0.47 per million tokens. A blended 3:1 input-to-output mix is about $8.10 per million tokens.
What is the context window of Llama 4 Scout Chat?
Llama 4 Scout Chat has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Llama 4 Scout Chat open weights?
Yes. Llama 4 Scout Chat is listed as an open-weight model under a open weights licence.
How does Llama 4 Scout Chat score on benchmarks?
Llama 4 Scout Chat averages 78.0 across the scored benchmarks in this index, ranking #174 of 600 models. Its strongest relative result is Arena Elo at 1407.5.
What is Llama 4 Scout Chat best for?
Llama 4 Scout Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.66 per million input tokens, it sits in the mid-range of the index, and the 32,768-token context window is enough for large files and multi-file diffs.