Meta
Llama 4 Scout
Released 2025-04-05 · Knowledge up to 2024-08-31
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...
You send / 1M
$0.100
tokens in
It replies / 1M
$0.300
tokens out
Memory
1.31M
tokens it can read at once
Typical request
$0.0003
1,000 words in, 400 out
Data privacy
No training or retention: Yes. At least one provider serves it with zero data retention.
| Provider | You send / 1M | It replies / 1M | Uptime | Privacy policy |
|---|---|---|---|---|
| DeepInfra · fp8 | $0.080 | $0.240 | 0% | Read |
| DeepInfra · fp8 | $0.100 | $0.300 | 100% | Read |
| DeepInfra · fp8 | $0.150 | $0.450 | 97% | Read |
| $0.250 | $0.700 | n/a | Read |
Based on OpenRouter and Vercel AI Gateway data. Confirm terms with the provider before sending sensitive data.
What it can do
- Reads: text, image
- Writes: text
- Reasoning: No
- Tool calling: Yes
- Longest reply: 16K tokens
- Intelligence score: 6.5 / 100 (Artificial Analysis)
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Appears in
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