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ModelCap

Qwen2.5 Coder 7B Instruct

Official publisher releaseOpen weights

Qwen·Qwen/Qwen2.5-Coder-7B-Instruct

Qwen2.5 Coder 7B Instruct has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 03:10 UTC.

Qwen2.5 Coder 7B Instruct weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 03:10 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
15.1
Secondary market signal

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
131K
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

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
$0.01$0.03131K608 ms142.6 tok/sstructured
featherless-ai
live

ModelCap Index · Current board

Methodology
Not scored · no public benchmark rows
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · qwen/Qwen/Qwen2.5-Coder-7B-Instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen2.5-Coder-7B-Instruct@c03e6d358207e414f1eca0bb1891e29f1db0e242 (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)
98.5
Surface (context / tools / modalities)
25.2
Freshness
6.1
  • · HF 30d downloads 2526164
  • · Catalogue: context 131072
  • · First seen 2024-09-17

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
23.8
6.5–41.1 uncertainty interval
Excluded from rank
Confidence
71%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
86%
Lineage-held-out error
10.0 MAE

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

Deployment readiness

Metadata index
65.4
partial · 74% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
51.3
Evaluation provenance
0.0

Missing: deployability.measured-provider-uptime, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, 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
15.1
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%
98.5

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

Freshness5%
6.1

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

Specification

Context window
131K tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
17 Sept 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
c03e6d358207
Parameters
7.6B
Architecture
Qwen2ForCausalLM
Model type
qwen2
Hugging Face downloads (30d)
2.5M
Downloads (all time)
23.5M
Likes
802
Repository updated
12 Jan 2025, 02:03 UTC

Benchmark leaderboards featuring Qwen2.5 Coder 7B Instruct

All leaderboards
Public benchmark boards on which Qwen2.5 Coder 7B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.9%#444 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen2.5 Coder Instruct 7B":reasoning=false13 Sept 2026

Qwen2.5 Coder 7B Instruct: common questions

How does Qwen2.5 Coder 7B Instruct rank among AI models?

Qwen2.5 Coder 7B Instruct has no public ModelCap Index position as of 22 September 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 Qwen2.5 Coder 7B Instruct cost per 1M tokens?

No live API price is listed for Qwen2.5 Coder 7B Instruct in the current snapshot as of 22 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

What is the context window of Qwen2.5 Coder 7B Instruct?

Qwen2.5 Coder 7B Instruct has a published context window of 131K tokens (131,072). Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen2.5 Coder 7B 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/Qwen2.5-Coder-7B-Instruct on Hugging Face.

Which benchmarks has Qwen2.5 Coder 7B Instruct been evaluated on?

Qwen2.5 Coder 7B Instruct has published results on 1 public board tracked by ModelCap as of 22 September 2026: AA Humanity's Last Exam 4.9% (#444 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Qwen2.5 Coder 7B Instruct released?

Qwen2.5 Coder 7B Instruct first appeared in the catalogue on 17 Sept 2024. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.