Llama 4 Scout Base: pricing, context window and benchmarks
Llama 4 Scout Base is a multimodal model from Meta AI. It offers a 32,768-token context window, costs $3.95 per million input tokens and $18.97 per million output tokens, and averages 75.3 across the index's benchmark suite.
Pricing
Llama 4 Scout Base costs $3.95 per million input tokens and $18.97 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.71 per million tokens. Cached input is listed at $0.43 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.95 | per 1M tokens |
| Output | $18.97 | per 1M tokens |
| Cached input | $0.43 | per 1M tokens |
| Blended 3:1 | $7.71 | estimate per 1M tokens |
| 1M in + 1M out | $22.92 | 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 | 80.7 | 158 | 74th | |
| GPQA Diamond | 70.5 | 251 | 58th | |
| SWE-bench Verified | 65.1 | 213 | 65th | |
| HumanEval | 81.1 | 211 | 65th | |
| MATH-500 | 78.4 | 250 | 58th | |
| AIME 2025 | 68.2 | 293 | 51th | |
| LiveCodeBench | 67.6 | 234 | 61th | |
| IFEval | 82.3 | 268 | 55th | |
| TruthfulQA | 79.8 | 189 | 69th | |
| HellaSwag | 83.6 | 300 | 50th | |
| MMMU | 71.5 | 257 | 57th | |
| Arena Elo | 1395.6 | 225 | 63th |
What Llama 4 Scout Base is good for
Llama 4 Scout Base 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 $3.95 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.95 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 3.1 Chat | Meta AI | 32768 | $3.82 | 75.3 |
| Llama 4 Scout Base | Meta AI | 32768 | $3.95 | 75.3 |
| Mistral Small 3 | Mistral AI | 32768 | $3.90 | 75.3 |
| Phi-4 Instruct | Microsoft | 128000 | $3.79 | 75.3 |
| Seed-OSS | ByteDance | 32768 | $3.74 | 75.3 |
| Llama 3 Modal Instruct | Modal | 128000 | $3.84 | 75.2 |
FAQ
How much does Llama 4 Scout Base cost?
Llama 4 Scout Base is listed at $3.95 per million input tokens and $18.97 per million output tokens. Cached input is $0.43 per million tokens. A blended 3:1 input-to-output mix is about $7.71 per million tokens.
What is the context window of Llama 4 Scout Base?
Llama 4 Scout Base has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 4 Scout Base open weights?
Yes. Llama 4 Scout Base is listed as an open-weight model under a open weights licence.
How does Llama 4 Scout Base score on benchmarks?
Llama 4 Scout Base averages 75.3 across the scored benchmarks in this index, ranking #242 of 600 models. Its strongest relative result is Arena Elo at 1395.6.
What is Llama 4 Scout Base best for?
Llama 4 Scout Base 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 $3.95 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.