Meta: Llama 4 Scout
by Meta LlamaMeta: Llama 4 Scout is a large language model from Meta Llama. It costs $0.100 per million input tokens and $0.300 per million output tokens. Its context window is 1.3M tokens.
- Input / 1M tokens
- $0.100
- Output / 1M tokens
- $0.300
- Cached input / 1M
- -
- Context window
- 1.3M
Not supported
tokens
Who serves it cheapest
2 hosts serve Llama 4 Scout. Same weights, same API - the price difference is pure margin and routing.
| Provider | Input / 1M | Output / 1M | Context | Throughput | Uptime 24h |
|---|---|---|---|---|---|
| DeepInfraCheapestfp8 | $0.080 | $0.240 | 328K | - | 4.2% |
| $0.250 | $0.700 | 1.3M | - | - |
The spread between DeepInfra and Google is 3.0× for identical weights. Quantization and context limits differ, so check both columns before switching.
Benchmarks
Independent scores published alongside the catalogue.
- Coding index
- 8.2
- Agentic index
- 0.5
About 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...
Specifications
| Model ID | meta-llama/llama-4-scout |
|---|---|
| Provider | Meta Llama |
| Context window | 1.3M tokens |
| Max output | 16K tokens |
| Input modalities | text, image |
| Output modalities | text |
| Knowledge cutoff | 2024-08-31 |
| Open weights | Yes - meta-llama/Llama-4-Scout-17B-16E-Instruct |
| Released | April 5, 2025 |
Cheaper alternatives
Models that cost less than Llama 4 Scout while keeping at least half its context window and every input modality it supports.
Frequently asked
How much does Meta: Llama 4 Scout cost?
$0.100 per million input tokens and $0.300 per million output tokens.
What is the context window of Meta: Llama 4 Scout?
1.3M tokens, with up to 16K tokens of output per request.
Which provider serves Meta: Llama 4 Scout cheapest?
DeepInfra at $0.080 per million input tokens - 3.0× cheaper than Google, the most expensive of the 2 hosts serving it.