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ModelCap

Llama 4 Scout

Current board #69Arena #228Gated access

Meta·meta-llama/llama-4-scout

Llama 4 Scout is a language model published by Meta. 4 OpenRouter endpoints are published in the latest snapshot. It accepts text, image input and returns text. The published context limit is 1.3M tokens. The catalogue declares support for tool use, structured outputs.

ModelCap Index · Current board
41.7#69
Measured · 83% support · score interval 41.7–48.3
Market Gravity
41.0
Secondary market signal
Input
$0.10
per 1M tokens
Output
$0.30
per 1M tokens
Context
1.3M
tokens
Providers
4
endpoints
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrafp8Cheapest$0.10$0.30328Kfp899.92%
Groq$0.11$0.34131K—99.84%
Novitabf16$0.18$0.59131Kbf1699.87%
Googleus-east5$0.25$0.701.3M—99.83%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
nscale
live
$0.09$0.29890K537 ms72.9 tok/stools · structured
deepinfra
live
$0.10$0.30328K1036 ms27.3 tok/stools · structured
novita
live
$0.18$0.59131K353 ms39.9 tok/s—

Reported evaluation leads (2)

Excluded from score

Structured rows reported in this exact model repository at the pinned revision below. They are useful research leads, but remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
—46.4646
Unpinned
not published
Reported
Quarantined
TIGER-Lab/MMLU-Pro
mmlu_pro
—74.3
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
41.7
Measured · 3 public benchmark observations across 3 boards
Current board
#69
Public rank basis
Measured (measured)
Index support
83.4% · strong
Index interval
41.7–48.3
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Identity binding
Exact catalogue product · meta-llama/meta-llama/llama-4-scout · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata meta-llama/Llama-4-Scout-17B-16E-Instruct@92f3b1597a195b523d8d9e5700e57e4fbb8f20d3 (not the evaluation revision)
Direct benchmark observations
3
Breadth-adjusted BES point estimate
45.0
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
45.0
Evidence status
confirmed · 92% mass
General preference
46.6
Coding
46.8
Agents & tools
—
Reasoning
7.4
Evidence breadth
95%
Evidence coverage
83%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
18.5
Liquidity (providers × uptime)
90.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
75.0
Freshness
15.5
  • · OpenRouter popularity #104
  • · 4 live providers
  • · Catalogue: context 1310720, tools, modalities Text/Image
  • · First seen 2025-04-05

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
88.8
strong · 93% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
68.3
Deployability
100.0
Evaluation provenance
75.5

Missing: accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
41.0
OpenRouter weekly popularity
#104 of 298

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
Arena
Official rank
#228 of 385
Rating
1323.0
95% confidence interval
1318–1328
Votes
30K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
98%

Market Gravity breakdown

Usage55%
18.5

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
90.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
15.5

Time since first public availability, on a six-month half-life.

Specification

Context window
1.3M tokens
Max output
16K tokens
Inputs
Text, Image
Outputs
Text
Tokenizer
Llama4
Cached input tokens
Not offered
First seen on OpenRouter
5 Apr 2025
Knowledge cutoff
2024-08-31

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Gated access. The weights are hosted behind an access request or acceptance step. Review the publisher's access requirements and license before use or redistribution.

Access
Gated access
Licence
llama4
Pinned revision
92f3b1597a19
Parameters
108.6B
Architecture
Llama4ForConditionalGeneration
Model type
llama4
Hugging Face downloads (30d)
491K
Downloads (all time)
7.4M
Likes
1K
Repository
meta-llama/Llama-4-Scout-17B-16E-Instruct
Repository updated
22 May 2025, 23:44 UTC
Base lineage
meta-llama/Llama-4-Scout-17B-16E