Meta: Llama 4 Scout

meta-llama/llama-4-scout

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$0.18 / $0.59
Context1.3M
ReleasedApr 5, 2025

Providers

3 providers serve this model upstream.

Providers serving this model
ProviderInput /MOutput /MCache read /MLatency P50Throughput P50Uptime
DeepInfraus · fp8$0.10$0.30Variable0.74s19 tps99.67%
NovitaAIbf16$0.18$0.59Variable4.27s12 tps82.52%
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
$0.18
per 1M tokens
Output
$0.59
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.

0.0s5.0s10.0s15.0s20.0s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
DeepInfra (us) NovitaAI
0 tok/s20 tok/s40 tok/s60 tok/s80 tok/s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
DeepInfra (us) NovitaAI

Uptime

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

Last 3 daysAvailability 99.95%
Oct 11, 2:00 PMNow
Availability over the last 24 hoursAvailability 99.84%
100% 97% 93% 90%
Oct 13, 2:50 PMNow

Apps

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

Activity

59.7B tokens processed market-wide in the last month.

02.5B5.0B7.5B10.0B
Sep 14Sep 19Sep 24Sep 29Oct 4Oct 9Oct 14
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 117,964 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 $0.18 per 1M input tokens and $0.59 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.

Explore

Other models your pass can call.