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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$0.30Variable0.50s38 tps99.9%
DeepInfraus · fp8$0.15$0.45Variable0.58s28 tps88.77%
DeepInfraus · fp8$0.08$0.24Variable1.90s27 tps51.64%
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.

0.0s2.0s4.0s6.0s8.0s
Oct 29, 12 AMOct 29, 8 AMOct 29, 4 PMOct 30, 12 AMOct 30, 8 AMOct 30, 4 PMOct 31, 12 AMOct 31, 8 AMOct 31, 4 PMNov 1, 12 AMNov 1, 8 AM
DeepInfra (us) DeepInfra (us) DeepInfra (us)
0 tok/s50 tok/s100 tok/s150 tok/s200 tok/s
Oct 29, 12 AMOct 29, 8 AMOct 29, 4 PMOct 30, 12 AMOct 30, 8 AMOct 30, 4 PMOct 31, 12 AMOct 31, 8 AMOct 31, 4 PMNov 1, 12 AMNov 1, 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 99.96%
Oct 29, 6:00 PMNow
Availability over the last 24 hoursAvailability 99.97%
100% 98% 97% 95%
Oct 31, 6:10 PMNow

Apps

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

websim82.2% of tokens6.3BVerifierContractBench6.5% of tokens495.0MVerifierContractBench6.1% of tokens464.5MG0DM0D3-pliny3.2% of tokens243.4MDA KINGZ FendiAI2% of tokens149.1M

Activity

66.0B tokens processed market-wide in the last month.

02.0B4.0B6.0B8.0B
Oct 2Oct 7Oct 12Oct 17Oct 22Oct 27Nov 1
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 https://minuykh.app/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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