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ModelCap

Qwen2 VL 2B Instruct

Official publisher releaseOpen weights

Qwen

Qwen2 VL 2B Instruct is a language model from Qwen. It has been superseded and no longer holds a position on ModelCap's current board. Its weights are openly downloadable.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · All-versions archive
—
Index position pending
Market Gravity
14.8
Secondary market signal

Superseded by Qwen3 VL 2B Instruct. It no longer holds a current-board position.

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Other versions (1)

ModelCap Index · All-versions archive

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · peers unresolved
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · qwen/Qwen/Qwen2-VL-2B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen2-VL-2B-Instruct@895c3a49bc3fa70a340399125c650a463535e71c (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
96.9
Surface (context / tools / modalities)
15.0
Freshness
4.7
  • · HF 30d downloads 1017935
  • · Catalogue: modalities Text/Image
  • · First seen 2024-08-28

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

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.

Experimental capability estimate

Estimate policy
16.1
0.0–32.2 uncertainty interval
Excluded from rank
Confidence
71%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Not yet published: a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

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

Market activity

Venue coverage
Market Gravity
14.8
OpenRouter weekly popularity
Not listed

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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

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

Open reach15%
96.9

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

Freshness5%
4.7

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

Specification

Model ID
Qwen/Qwen2-VL-2B-Instruct
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
28 Aug 2024

Capabilities

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

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
895c3a49bc3f
Parameters
2.2B
Architecture
Qwen2VLForConditionalGeneration
Model type
qwen2_vl
Hugging Face downloads (30d)
1.0M
Downloads (all time)
50.8M
Likes
529
Repository updated
12 Jan 2025, 01:59 UTC
Base lineage
Qwen/Qwen2-VL-2B

Qwen2 VL 2B Instruct: common questions

How does Qwen2 VL 2B Instruct rank among AI models?

Qwen2 VL 2B Instruct is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Qwen2 VL 2B Instruct cost per 1M tokens?

No live API price is listed for Qwen2 VL 2B Instruct in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Qwen2 VL 2B Instruct open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is Qwen/Qwen2-VL-2B-Instruct on Hugging Face.

When was Qwen2 VL 2B Instruct released?

Qwen2 VL 2B Instruct first appeared in the catalogue on 28 Aug 2024. It has since been superseded by Qwen3 VL 2B Instruct. Rank and price movements since then are recorded on the site's changes feed.