MODEL PROOF
Llama 4 Scout
NOT INDEPENDENTLY RATED
No independent LMArena score is published for this model.
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.
Price from DeepInfra: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.
Every price dimension · USD per million tokens
| Input | $0.100/M |
|---|---|
| Output | $0.300/M |
| Cached input | Unknown/M |
| Cache write | Unknown/M |
| Cache write 1h | Unknown/M |
| Reasoning | Unknown/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.
| Seller | Input | Output | Precision | Uptime (1d) |
|---|---|---|---|---|
| DeepInfradeepinfra/fp8 Endpoint terms
| $0.100 | $0.300 | fp8 | 99.93% |
| Novitanovita/bf16 Endpoint terms
| $0.180 | $0.590 | bf16 | 99.95% |
| Googlegoogle-vertex/us-east5 Endpoint terms
| $0.250 | $0.700 | undeclared | — |
Independent scores
No independent benchmark has measured this model. Unrated is not a score of zero.
Best rankings by task
- Data visualisation #120 901
- UI components #124 774
- Code categories #127 795
- Game development #127 786
- Websites #134 757
Per-task Elo and rank from Design Arena, via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list.
Capability
| Context window | 1.3M |
|---|---|
| Max output | 16K |
| Input modes | text, image |
| Tool use | yes |
| Reasoning | no |
| Knowledge cutoff | 2024-08-31 |
| Open weights | yes |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-10-06 |
| Quality data | unrated |
| Cross-checked | vendor 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
Save or share this proof
Badge
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.
[](https://undominated.ai/models/meta-llama__llama-4-scout/)<a href="https://undominated.ai/models/meta-llama__llama-4-scout/"><img src="https://undominated.ai/badge/meta-llama__llama-4-scout.svg" alt="Llama 4 Scout — Undominated.ai dominance verdict" height="36"></a>Direct file: https://undominated.ai/badge/meta-llama__llama-4-scout.svg — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never
older than the last deploy.
