Skip to content
ModelCap

Qwen3 8B

Official publisher releaseOpen weights

Qwen

Qwen3 8B is a language model from Qwen. It does not hold a position on ModelCap's current board yet; it is placed automatically once its model card or a public benchmark compares it with ranked models. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 14:10 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Index position pending
Market Gravity
15.6
Secondary market signal
Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
131K
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

Reported evaluation leads (1)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
LiquidAI/ifstruct-v1.0
ifstruct_v1
—79.75
Unpinned
not published
Reported
Quarantined

Other versions (1)

ModelCap Index · Current board

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · placement uncalibrated
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · qwen/qwen/qwen3-8b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-8B@b968826d9c46dd6066d109eabc6255188de91218 (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)
99.8
Surface (context / tools / modalities)
70.2
Freshness
12.0
  • · HF 30d downloads 7000357
  • · Catalogue: context 131072, reasoning, tools
  • · First seen 2025-04-28

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
29.0
15.0–43.1 uncertainty interval
Excluded from rank
Confidence
78%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
60.5
partial · 61% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
35.0
Evaluation provenance
0.0

Not yet published: a current serving provider, measured provider uptime, published provider pricing, 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
15.6
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%
99.8

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

Freshness5%
12.0

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

Specification

Model ID
qwen/qwen3-8b
Context window
131K tokens
Declared output cap
8K tokens

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
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
28 Apr 2025
Knowledge cutoff
2025-03-31

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Not supported: Structured output
  • 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
b968826d9c46
Parameters
8.2B
Architecture
Qwen3ForCausalLM
Model type
qwen3
Hugging Face downloads (30d)
7.0M
Downloads (all time)
137.0M
Likes
2K
Repository
Qwen/Qwen3-8B
Repository updated
26 Jul 2025, 03:49 UTC
Base lineage
Qwen/Qwen3-8B-Base

Benchmark leaderboards featuring Qwen3 8B

All leaderboards
Public benchmark boards on which Qwen3 8B has a published result
LeaderboardScoreSource rankConfigurationPublished
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)42.6#30 of 83Function calling12 Apr 2026

Qwen3 8B: common questions

How does Qwen3 8B rank among AI models?

Qwen3 8B has no public ModelCap Index position as of 6 November 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Qwen3 8B cost per 1M tokens?

No live API price is listed for Qwen3 8B in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of Qwen3 8B?

Qwen3 8B has a published context window of 131K tokens (131,072). The snapshot lists a 8,192 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Qwen3 8B 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/Qwen3-8B on Hugging Face.

Which benchmarks has Qwen3 8B been evaluated on?

Qwen3 8B has published results on 1 public board tracked by ModelCap as of 6 November 2026: BFCL V4 42.6 (#30 of 83). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

When was Qwen3 8B released?

Qwen3 8B first appeared in the catalogue on 28 Apr 2025, with a published knowledge cutoff of 2025-03-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.