MODEL PROOF

Llama 4 Scout

NOT INDEPENDENTLY RATED

No independent LMArena score is published for this model.

$0.150 / 1M tokens Balanced · 3 tokens in per 1 out

Serving precision differs between offers.

Independent LMArena score
Not independently rated
Context window
1.31M
Maximum output
16.38K
Input modalities
text, image
Output modalities
text
Published input price
$0.100 / 1M tokens
Published output price
$0.300 / 1M tokens
Pricing kind
fixed

Inspect complete billing conditions and endpoint terms below.

Every price dimension · USD per million tokens
Input$0.100/M
Output$0.300/M
Cached inputUnknown/M
Cache writeUnknown/M
Cache write 1hUnknown/M
ReasoningUnknown/M

Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.180/M from Novita.

3 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

SellerInputOutputPrecisionUptime (1d)
DeepInfradeepinfra/fp8
Endpoint terms
Cached input /M
Unknown
Context limit
327,680 tokens
Output limit
16,384 tokens
Tools
Not listed by endpoint
Reasoning
Not listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
99.83%
$0.100 $0.300 fp8 99.93%
Novitanovita/bf16
Endpoint terms
Cached input /M
Unknown
Context limit
131,072 tokens
Output limit
117,964 tokens
Tools
Not listed by endpoint
Reasoning
Not listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
99.78%
$0.180 $0.590 bf16 99.89%
Googlegoogle-vertex/us-east5
Endpoint terms
Cached input /M
Unknown
Context limit
1,310,720 tokens
Output limit
8,192 tokens
Tools
Listed by endpoint
Reasoning
Not listed by endpoint
Promotional discount
None reported
Uptime · last 30 minutes
Unknown
$0.250 $0.700 undeclared —

Independent scores

No independent benchmark has measured this model. Unrated is not a score of zero.

Capability

Context window1.3M
Max output16K
Input modestext, image
Tool useyes
Reasoningno
Knowledge cutoff2024-08-31
Open weightsyes

Provenance

Price sourceopenrouter.ai
Fetched2026-09-23
Quality dataunrated
Cross-checkedvendor page

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...

Questions this page answers

What does Llama 4 Scout cost?

$0.100/M in, $0.300/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

Does Llama 4 Scout have an independent quality score?

Llama 4 Scout has no independent quality score in this catalogue. Unrated is not a score of zero.

What beats Llama 4 Scout?

Llama 4 Scout has no independent quality score. Unrated is not a score of zero.

Does this page use Artificial Analysis scores for Llama 4 Scout?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

Does a missing score mean Llama 4 Scout scored zero?

Unrated is not a score of zero.

Is the cheapest Llama 4 Scout endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.180/M from Novita.

MODEL MONUMENT

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The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

Llama 4 Scout — Undominated.ai dominance verdict

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