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ModelCap

Qwen3 Coder 30B A3B Instruct

Current board #93Official publisher releaseOpen weights7d #92 → #93

Qwen·qwen/qwen3-coder-30b-a3b-instruct

Qwen3 Coder 30B A3B Instruct is ModelCap current-board rank #93 with Index 52.4 (Modeled · peer benchmarks), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3 Coder 30B A3B Instruct listed OpenRouter input price is $0.07 per 1M tokens and listed output price is $0.28 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Qwen3 Coder 30B A3B Instruct has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Qwen3 Coder 30B A3B Instruct has 4 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3 Coder 30B A3B Instruct weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
52.4#93
Estimated · 26% support · score interval 45.0–59.9
No admitted evaluation publication timestamp yet
Market Gravity
34.8Increased by 0.2
Secondary market signal
Input
$0.07
per 1M tokens
Output
$0.28
per 1M tokens
Context
262K
tokens
Providers
4
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp8Cheapest$0.07$0.27160Kfp8100.0%
SiliconFlowfp8$0.07$0.28262Kfp8100.0%
Amazon Bedrock$0.15$0.60
Alibaba$0.292$1.46262K

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
scaleway
live
$0.228$0.912256 ms130.5 tok/stools · structured
featherless-ai
live

ModelCap Index · Current board

Methodology
52.4
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#93
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
26.0% · limited
Index interval
45.0–59.9
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/qwen3-coder-30b-a3b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-Coder-30B-A3B-Instruct@b2cff646eb4bb1d68355c01b18ae02e7cf42d120 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
52.4
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
52.4 ± 5.8
Independent share
0%
Shrink toward corpus
+0.1
Peer ceiling share
0%
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
publisher-corpus-prior over 203 held-out anchors
53.5 ± 22.77%
Launch card against resolved peers · not independent
launch card against 3 resolved peers on 4 rows
52.4 ± 6.094%
  • · Launch card row bfcl-v-3: claims below every resolved peer
  • · Launch card row swe-bench-live: inside the resolved peer range
  • · Launch card row swe-bench-multilingual: inside the resolved peer range
  • · Launch card row tau-bench-airline: inside the resolved peer range
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)
11.6
Liquidity (providers × uptime)
66.2
Open reach (HF downloads)
72.3
Surface (context / tools / modalities)
50.3
Freshness
20.4
  • · OpenRouter popularity #165
  • · 4 live providers
  • · HF 30d downloads 567293
  • · Catalogue: context 262144, tools
  • · First seen 2025-07-31

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
41.0
24.8–57.1 uncertainty interval
Excluded from rank
Confidence
74%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
74.8
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
97.5
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
34.8
OpenRouter weekly popularity
#165 of 322

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%
11.6

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
66.2

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

Open reach15%
72.3

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

Freshness5%
20.4

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

Specification

Context window
262K tokens
Max output
236K tokens
Inputs
Text
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
31 Jul 2025
Knowledge cutoff
2025-06-30

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • 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
b2cff646eb4b
Parameters
30.5B
Architecture
Qwen3MoeForCausalLM
Model type
qwen3_moe
Hugging Face downloads (30d)
567K
Downloads (all time)
15.3M
Likes
1K
Repository updated
3 Dec 2025, 08:05 UTC

Compare Qwen3 Coder 30B A3B Instruct with

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Benchmark leaderboards featuring Qwen3 Coder 30B A3B Instruct

All leaderboards
Public benchmark boards on which Qwen3 Coder 30B A3B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis34.5%#250 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3 Coder 30B A3B Instruct":reasoning=false13 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis3.8%#544 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3 Coder 30B A3B Instruct":reasoning=false13 Sept 2026

Alternatives to Qwen3 Coder 30B A3B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #93 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Qwen models

The same publisher's other current models with a public Index position.

Qwen3 Coder 30B A3B Instruct: common questions

How does Qwen3 Coder 30B A3B Instruct rank among AI models?

Qwen3 Coder 30B A3B Instruct holds ModelCap Index position #93 of 248 ranked language models as of 22 September 2026, with an Index score of 52.4 (interval 45.0–59.9); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen3 Coder 30B A3B Instruct cost per 1M tokens?

Qwen3 Coder 30B A3B Instruct is listed at $0.07 per 1M input tokens and $0.28 per 1M output tokens as of 22 September 2026; the lowest output price among 4 providers is $0.27 on Novita. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.28 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Qwen3 Coder 30B A3B Instruct?

Qwen3 Coder 30B A3B Instruct has a published context window of 262K tokens (262,144) and a maximum output of 236K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen3 Coder 30B A3B 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/Qwen3-Coder-30B-A3B-Instruct on Hugging Face.

Which API providers serve Qwen3 Coder 30B A3B Instruct?

4 providers serve Qwen3 Coder 30B A3B Instruct through OpenRouter as of 22 September 2026: Novita, SiliconFlow, Amazon Bedrock and Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3 Coder 30B A3B Instruct been evaluated on?

Qwen3 Coder 30B A3B Instruct has published results on 2 public boards tracked by ModelCap as of 22 September 2026: AA τ²-Bench Telecom 34.5% (#250 of 436) and AA Humanity's Last Exam 3.8% (#544 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Qwen3 Coder 30B A3B Instruct compare with Qwen3 VL 235B A22B Thinking?

Qwen3 Coder 30B A3B Instruct ranks #93 (Index 52.4) and Qwen3 VL 235B A22B Thinking ranks #94 (Index 52.1) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Qwen3 Coder 30B A3B Instruct released?

Qwen3 Coder 30B A3B Instruct first appeared in the catalogue on 31 Jul 2025, with a published knowledge cutoff of 2025-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.