Llama 4 Scout 17B
Open multimodal Llama model for long-context analysis and efficient agents
Cheapest input
$0.08
$/MTok · LiteLLM
Cheapest output
$0.3
$/MTok
Context
328K
tokens
Offers
6
2 sources
Offers
Same model, different listings. First-party, router, and aggregator rows stay separate so you can see the spread instead of a single blended number.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| LiteLLMcheapestdeepinfra/meta-llama/Llama-4-Scout-17B-16E-Instruct | — | $0.08 | $0.3 | $0.008 | — |
| LiteLLMcheapestmeta-llama/Llama-4-Scout-17B-16E-Instruct | — | $0.08 | $0.3 | $0.008 | — |
| models.devmeta-llama/Llama-4-Scout-17B-16E-Instruct | DeepInfra | $0.1 | $0.3 | $0 | 328K |
| models.devmeta-llama/llama-4-scout-17b-16e-instruct | Groq | $0.11 | $0.34 | $0.011 | 131K |
| LiteLLMmeta-llama/llama-4-scout-17b-16e-instruct | — | $0.11 | $0.34 | $0.011 | — |
| models.devmeta-llama/llama-4-scout-17b-16e-instruct | Novita AI | $0.18 | $0.59 | $0 | 131K |
Capabilities
- Tool calling
- Structured output
- Attachments
- Open weights
- In: text
- In: image
- Out: text
Knowledge cutoff: 2024-08Released: 2025-04-05Family: llama
Scores
Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Full boards on /benchmarks.
Sources: Arena AI, Artificial Analysis. See /benchmarks.