Model reference · Synced 2025-04-29
Llama-4-Scout-17B-16E-Instruct-FP8
Llama-4-Scout-17B-16E-Instruct-FP8 is an AI model from Llama. 128K context window. Capabilities: tool calling, multimodal vision, open weights. Available on 2 providers. Cheapest listing: $0 input / $0 output per 1M tokens.
Quick facts
- Cheapest input: $0 per 1M tokens (Llama)
- Cheapest output: $0 per 1M tokens
- Context window: 128K tokens
- Max output: 4K tokens
- Release date: 2025-04-05
- Knowledge cutoff: 2024-08
- Capabilities: tool calling, multimodal vision, open weights
- Provider count: 2
→ Add Llama-4-Scout-17B-16E-Instruct-FP8 to the comparison tool
Provider pricing
Same model, different providers, different prices. Cheapest first.
| Provider | Input / 1M | Output / 1M | Context | Listed |
|---|---|---|---|---|
| Llama | $0 | $0 | 128K | 2025-04-05 |
| Vercel AI Gateway | $0 | $0 | 128K | 2025-04-05 |
Prices synced daily from models.dev + provider docs.
How to use this model
If you're picking Llama-4-Scout-17B-16E-Instruct-FP8 for a project, the three things that matter most:
- Compare it side-by-side with one or two alternatives in the live comparison tool. Pricing differences matter more than benchmarks at scale.
- Pick the cheapest provider that meets your latency / SLA need. Big spread across providers for the same weights.
- Re-evaluate every 3 months. Frontier prices drop fast; a model that's cheapest today may not be in a quarter.
Related models
FAQ
How much does Llama-4-Scout-17B-16E-Instruct-FP8 cost? $0 input / $0 output per 1M tokens at the cheapest listing. See the table above for other providers.
What is the context window? 128K tokens.
Which providers offer it? Llama, Vercel AI Gateway.
Where do these numbers come from? models.dev + provider documentation, synced daily. About the data.