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Meta: Llama 4 Scout

meta-llama/llama-4-scout
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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.

Modalities
In / out per 1M$0.10 / $0.30
Context1.3M
ReleasedApr 5, 2025

Providers

4 providers serve this model upstream.

Providers serving this model
ProviderInput /MOutput /MCache read /MLatency P50Throughput P50Uptime
DeepInfraus · fp8$0.10$0.30Variable——99.89%
DeepInfraus · fp8$0.15$0.45Variable22.39s8 tps69.99%
DeepInfraus · fp8$0.08$0.24Variable——31.81%
Google Vertexus-east5$0.25$0.70Variable———

Market-wide measurements, refreshed every 15 minutes. They describe who serves Llama 4 Scout in general, not how ProjectCOZY routes your requests.

Pricing

List rates per 1M tokens — what Llama 4 Scout costs pay-as-you-go elsewhere, not what you pay here.

Input
$0.10
per 1M tokens
Output
$0.30
per 1M tokens
Cache read
—
not published
Included in every pass
Llama 4 Scout is included in every ProjectCOZY pass at no extra cost — one flat rate, no per-token metering. The rates above are there for comparison.

Performance

Time to first token and output speed across every provider, over the last 3 days.

0.0s10.0s20.0s30.0s40.0s
Oct 16, 12 AMOct 16, 8 AMOct 16, 4 PMOct 17, 12 AMOct 17, 8 AMOct 17, 4 PMOct 18, 12 AMOct 18, 8 AMOct 18, 4 PMOct 19, 12 AMOct 19, 8 AM
DeepInfra (us) DeepInfra (us) DeepInfra (us)
0 tok/s50 tok/s100 tok/s150 tok/s200 tok/s
Oct 16, 12 AMOct 16, 8 AMOct 16, 4 PMOct 17, 12 AMOct 17, 8 AMOct 17, 4 PMOct 18, 12 AMOct 18, 8 AMOct 18, 4 PMOct 19, 12 AMOct 19, 8 AM
DeepInfra (us) DeepInfra (us) DeepInfra (us)

Uptime

100% of requests were served successfully over the last 3 days, across all providers.

Last 3 daysAvailability 96.94%
Oct 16, 11:00 AMNow
Availability over the last 24 hoursAvailability 97.44%
100% 90% 80% 70%
Oct 18, 11:40 AMNow

Apps

Tools that most often run Llama 4 Scout, by tokens this week.

websim77.3% of tokens7.1BMUD Adventure Generator9.3% of tokens848.8MVerifierContractBench5.4% of tokens495.0MVerifierContractBench5.1% of tokens464.5Mfailure-classifier3% of tokens275.0M

Activity

58.7B tokens processed market-wide in the last month.

02.0B4.0B6.0B8.0B
Sep 19Sep 24Sep 29Oct 4Oct 9Oct 14Oct 19
Tokens

FAQ

Which model id do I use for Llama 4 Scout?
meta-llama/llama-4-scout. Send it as the model field from any OpenAI-compatible client, against http://192.168.1.55/v1.
How much context does Llama 4 Scout hold?
1,310,720 tokens per request, of which up to 16,384 can be the response.
What can it accept and return?
Input: text, image. Output: text.
What does Llama 4 Scout cost on a pass?
Nothing beyond the pass itself. Pay-as-you-go elsewhere it lists at $0.10 per 1M input tokens and $0.30 per 1M output tokens.
How current is its knowledge?
Training data runs to Aug 2024. Anything later has to come from your prompt or a tool call.
Who built Llama 4 Scout?
Meta, in the Llama family.

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