Evidence in this edition2 source links

none reviewed yet · 1 benchmark observation · latest capture Sep 11, 2026

Inspect the evidence
Task fitUnscored

No editorial score yet — missing data is not a low score

How scoring works
Cost at your workload$16.00

Verified rates (Sep 11, 2026) · 100 runs / month at your token settings

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At a glance

9 facts
Provider
Meta
Type
API model
Access
OpenRouter API
Context
327,680 tokens
Maximum output
16,384 tokens
License / weights
Open weights
Input modalities
text, image
Output modalities
text
Pricing notes
$0.1 input / $0.3 output per 1M tokens on OpenRouter.

The practical trade-offs

Documented strengths

  • Current model catalogue entry with a public API identifier and pricing metadata.

Limitations to check

  • No normalized frontend-quality score has been assigned.
  • Popularity and recency are not treated as quality evidence.
Follow the source

Evidence & conditions

2 source links
2Source links
NoneReviewed records
1Benchmark runs
Sep 11, 2026Latest capture

Benchmark observations

LiveCodeBench (2024-10-01 to 2025-02-01) Inspect conditions
name
LiveCodeBench (2024-10-01 to 2025-02-01)
value
32.8
unit
%
source Url
https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct
checked At
2026-09-08T19:31:52Z
attribution
provider-reported
configuration
Instruction-tuned bf16 model; zero-shot; pass@1; fixed dated evaluation slice.

Source reports, measured results, and editorial assessments are separate evidence types. Source dates do not imply a new benchmark run. Capture dates are shown when recorded; otherwise we say the capture date was not recorded. Recorded dates are compared with this catalogue snapshot (Sep 11, 2026), not today’s date.

Method AIS-V2

How this page is assessed

Quality claims follow Method AIS-V2.

Money never buys rank — commercial relationships cannot change rank, eligibility, evidence quality, or publication timing.

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