How much does Llama 4 Scout cost?

Llama 4 Scout costs $0.10/M input tokens and $0.30/M output tokens.

What is the context length of Llama 4 Scout?

Llama 4 Scout has a 1,310,720 token context window. It supports up to 16,384 completion tokens.

Does Llama 4 Scout support tool calling and structured outputs?

Yes. Llama 4 Scout accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Llama 4 Scout support?

Llama 4 Scout accepts text and images as input and returns text.

Which providers serve Llama 4 Scout?

Llama 4 Scout is served by 2 providers on OpenRouter: DeepInfra and Google Vertex. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Llama 4 Scout released?

Llama 4 Scout was released on April 5, 2025. Its knowledge cutoff is August 31, 2024.

Meta: Llama 4 Scout

meta-llama/llama-4-scout

Model weights

Compare

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 (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens.

Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.

Modalities

In / out price

$0.10 / $0.30per 1M

Context

1.3M

Released

Apr 5, 2025

Knowledge cutoff

Aug 2024

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.10	$0.30	0.34s	90 tok/s	100.00%
BYOK only	$0.25	$0.70	--	--	--
Priority	$0.15	$0.45	0.30s	88 tok/s	98.81%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.08	$0.24	0.42s	47 tok/s	100.00%

Input $0.10Output $0.30
90 tok/s100.00% uptime
Input $0.25Output $0.70
BYOK only
-- tok/s-- uptime
Input $0.15Output $0.45
Priority
88 tok/s98.81% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.08Output $0.24
Flex
47 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.1148/M tokens

Output

$0.3368/M tokens

Llama 4 Scout — Price history

Price history

No effective price data for this selection

		$0.0997	$0.297	0.0%	69.8%
	Priority	$0.1497	$0.446	0.0%	30.0%
		—	—	—	—
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.0797	$0.228	0.0%	0.1%

Effective in $0.0997Effective out $0.297
Token share
69.8%
Effective in $0.1497Effective out $0.446
PriorityToken share
30.0%
Effective in —Effective out —
Token share —
Not used in Standard routing:Why these endpoints are not used
Effective in $0.0797Effective out $0.228
FlexToken share
0.1%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.09%

Availability over the last 3 days

Last 72 hours

Availability 99.09%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

97.08%

Without Routing

93.44%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Meta: Llama 4 Scout (Artificial Analysis and Design Arena)
Source	Benchmark	Score
Artificial Analysis	Llama 4 Scout Coding Index	8.2
Artificial Analysis	Llama 4 Scout Agentic Index	0.5
Artificial Analysis	Llama 4 Scout GPQA Diamond	58.7%
Artificial Analysis	Llama 4 Scout HLE	3.8%
Artificial Analysis	Llama 4 Scout IFBench	39.5%
Artificial Analysis	Llama 4 Scout τ²-Bench Telecom	15.5%
Artificial Analysis	Llama 4 Scout AA-LCR	27.7%
Artificial Analysis	Llama 4 Scout τ-Bench Banking	3.3%
Artificial Analysis	Llama 4 Scout GDPval-AA	0.0%
Artificial Analysis	Llama 4 Scout CritPt	0.0%
Artificial Analysis	Llama 4 Scout LiveCodeBench	29.9%
Artificial Analysis	Llama 4 Scout SciCode	21.3%
Artificial Analysis	Llama 4 Scout Terminal-Bench Hard	1.5%
Artificial Analysis	Llama 4 Scout Terminal-Bench 4.0	0.0%
Artificial Analysis	Llama 4 Scout Terminal-Bench 2.1	3.7%
Artificial Analysis	Llama 4 Scout MMLU-Pro	75.2%
Artificial Analysis	Llama 4 Scout AIME 2025	14.0%
Artificial Analysis	Llama 4 Scout AIME	28.3%
Artificial Analysis	Llama 4 Scout MATH-500	84.4%
Design Arena	Llama 4 Scout Models Arena Code Categories Elo	779
Design Arena	Llama 4 Scout Models Arena Data Visualization Elo	896
Design Arena	Llama 4 Scout Models Arena Game Development Elo	762
Design Arena	Llama 4 Scout Models Arena UI Component Elo	758
Design Arena	Llama 4 Scout Models Arena Website Elo	742

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

websim

new

6.75Btokens

DA KINGZ FendiAI

new

659Mtokens

G0DM0D3-pliny

new

225Mtokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

142Mtokens

Repertory Newsletter

new

46Mtokens

Rest of OpenRouter

318M

Top 5 Apps

233M

Not currently available through EU in-region routing. In-region routing docs

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Providers