Model specification · Meta
Llama 4 Scout
meta-llama/llama-4-scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
SpecificationsReported values
- Context window
- 1.3M
- Maximum output
- 16K
- Architecture
- text+image->text
- Tokenizer
- Llama4
- Knowledge cutoff
- 2024-08-31
- Moderated
- No
- Input modalities
- text image
- Output modalities
- text
Full pricingUSD where reported
| Price | Standard |
|---|---|
| Input | $0.100 / M |
| Output | $0.300 / M |
Benchmark indexesReported indexes
- Intelligence
- 6.5
- Coding
- 8.2
- Agentic
- 0.5
- Design Arena Elo
- 811
Example workload costsStandard pricing only
| Workload | Input / output | Cache share | Estimated cost |
|---|---|---|---|
| Quick check | 10K / 1K × 1 | 0% | $0.00130 |
| Long analysis | 100K / 4K × 1 | 50% | $0.011 |
| Workday | 20K / 2K × 1,000 | 30% | $2.60 |
More from MetaAll Meta models
| Model | Context | Input / M | Output / M | Intel. |
|---|---|---|---|---|
| Llama 4 Maverick | 1.0M | $0.188 | $0.652 | 9.3 |