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Llama 4 Scout

meta-llama/llama-4-scout · rates as of · Benchmarks · Plans · Calculator

Open multimodal Llama model for long-context analysis and efficient agents

Cheapest input
$0.085
$/MTok · models.dev
Cheapest output
$0.46
$/MTok
Context
1.3M
tokens
Offers
3
2 sources

Price changes

Cheapest list input/output only. Not a daily candle chart: rates move rarely, so this is an event log. Arrow down means cheaper.

Input $/MTok over sampled dates
Output $/MTok
  • ↑ riseOutput $0.3 → $0.46
  • ↑ riseInput $0.08 → $0.085

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.

SourceProviderInputOutputCache readContext
models.devcheapestmeta-llama/llama-4-scoutNanoGPT$0.085$0.46$0328K
models.devmeta-llama/llama-4-scoutKilo Gateway$0.1$0.3$0328K
OpenRoutermeta-llama/llama-4-scoutOpenRouter$0.1$0.3$01.3M

Capabilities

  • Tool calling
  • Structured output
  • Attachments
  • Open weights
  • In: text
  • In: image
  • Out: text
Knowledge cutoff: 2024-08-31Released: 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.

See what you actually spent

tokenstat prices your local sessions at list rates like these, with the cache split kept honest. Free, open source, runs on your machine.

$ curl -fsSL https://tokenstat.ai/install.sh | bash