Skip to content
ModelCap

Llama 3.2 1B Instruct

Current board #93Arena #367Gated access

Meta·meta-llama/llama-3.2-1b-instruct

Llama 3.2 1B Instruct is a language model published by Meta. 1 OpenRouter endpoint is published in the latest snapshot. It accepts text input and returns text. The published context limit is 60K tokens.

ModelCap Index · Current board
10.2#93
Measured · 69% support · score interval 10.2–19.2
Market Gravity
19.0
Secondary market signal
Input
$0.027
per 1M tokens
Output
$0.201
per 1M tokens
Context
60K
tokens
Providers
1
endpoint
Gateway spend
—
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Cloudflare$0.027$0.20160K—100.0%

Reported evaluation leads (1)

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
—18.6869
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
10.2
Measured · 3 public benchmark observations across 3 boards
Current board
#93
Public rank basis
Measured (measured)
Index support
69.3% · strong
Index interval
10.2–19.2
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-3.2-1b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata meta-llama/Llama-3.2-1B-Instruct@9213176726f574b556790deb65791e0c5aa438b6 (not the evaluation revision)
Direct benchmark observations
3
Breadth-adjusted BES point estimate
14.7
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
14.7
Evidence status
confirmed · 89% mass
General preference
15.2
Coding
16.4
Agents & tools
4.0
Reasoning
—
Evidence breadth
97%
Evidence coverage
69%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
4.4
Liquidity (providers × uptime)
35.0
Open reach (HF downloads)
—
Surface (context / tools / modalities)
19.5
Freshness
7.5
  • · OpenRouter popularity #232
  • · 1 live provider
  • · Catalogue: context 60000
  • · First seen 2024-09-25

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
74.0
partial · 89% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
68.3
Deployability
68.0
Evaluation provenance
72.1

Missing: artifactReproducibility.base-lineage, 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
19.0
OpenRouter weekly popularity
#232 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
#367 of 385
Rating
1110.7
95% confidence interval
1103–1119
Votes
8K
Source snapshot
6 Aug 2026, 13:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
4.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
35.0

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%
7.5

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

Specification

Context window
60K tokens
Max output
60K tokens
Inputs
Text
Outputs
Text
Tokenizer
Llama3
Cached input tokens
Not offered
First seen on OpenRouter
25 Sept 2024
Knowledge cutoff
2023-12-31

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not 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
llama3.2
Pinned revision
9213176726f5
Parameters
1.2B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
9.8M
Downloads (all time)
93.5M
Likes
2K
Repository
meta-llama/Llama-3.2-1B-Instruct
Repository updated
24 Oct 2024, 15:07 UTC