deepseek
// meta-llama
Llama 4 Scout
meta-llama/llama-4-scout
Llama 4 Scout costs $0.100 per 1M input tokens and $0.300 per 1M output tokens with a 1.3M-token context window.
A tool-calling model from meta-llama, released Apr 5, 2025. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.100
- Output / 1M
- $0.300
- Context
- 1.3M
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.100 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.300 |
| Blended price 3:1 input:output — #60 cheapest of 343 listed models | $0.150 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 1,310,720 tokens |
| Max output | 16,384 tokens |
| Input modalities | text, image |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2024-08-31 |
| Listed | Apr 5, 2025 |
What Llama 4 Scout costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $48.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $98.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $104.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $122.50/mo |
| Bulk classification 500 in / 20 out × 5M requests | $280.00/mo |
Compare Llama 4 Scout with
Benchmarked models at a similar price.
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Llama 4 Scout vs DeepSeek V4.1 Flash
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Llama 4 Scout vs GLM 5.3 Flash
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Llama 4 Scout vs DeepSeek V4 Flash Vision Exp
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Llama 4 Scout vs DeepSeek V4 Flash 0423
Llama 4 Scout FAQ
How much does Llama 4 Scout cost?
Llama 4 Scout lists at $0.100 per 1M input tokens and $0.300 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $98.00 at list price.
What is the context window of Llama 4 Scout?
Llama 4 Scout accepts up to 1,310,720 tokens of context and can return up to 16,384 output tokens per response.
Does Llama 4 Scout support tool calling?
Yes — Llama 4 Scout supports tool (function) calling. It accepts text, image input.
How does Llama 4 Scout score on benchmarks?
LiveBench has not published a run for Llama 4 Scout yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Llama 4 Scout?
On OpenRouter the model ID is "meta-llama/llama-4-scout". It was listed on Apr 5, 2025.
More from meta-llama
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.