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ModelCap

Qwen3 30B A3B Instruct 2507

Current board #107Arena #173Official publisher releaseOpen weights

Qwen·qwen/qwen3-30b-a3b-instruct-2507

Qwen3 30B A3B Instruct 2507 is ModelCap current-board rank #107 with Index 48.0 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3 30B A3B Instruct 2507 listed OpenRouter input price is $0.048 per 1M tokens and listed output price is $0.193 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Qwen3 30B A3B Instruct 2507 has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Qwen3 30B A3B Instruct 2507 has 5 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3 30B A3B Instruct 2507 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
48.0#107
Measured · 63% support · score interval 43.0–53.0
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
41.8Increased by 0.1
Secondary market signal
Input
$0.048
per 1M tokens
Output
$0.193
per 1M tokens
Context
262K
tokens
Providers
5
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
StreamLakeCheapest$0.048$0.193128K98.89%
DekaLLM$0.09$0.30262K99.20%
SiliconFlowfp8$0.09$0.30262Kfp898.51%
Nebiusfp8$0.10$0.30262Kfp898.34%
Alibaba$0.13$0.52131K99.57%

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
Idavidrein/gpqa
main
70.4
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
48.0
Measured · 2 public benchmark observations across 2 boards
Current board
#107
Public rank basis
Measured (measured)
Index support
63.0% · strong
Index interval
43.0–53.0
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
13 Sept 2026, 00:00 UTC
Identity binding
Exact catalogue product · qwen/qwen/qwen3-30b-a3b-instruct-2507 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-30B-A3B-Instruct-2507@0d7cf23991f47feeb3a57ecb4c9cee8ea4a17bfe (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
48.0
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
48.0
Evidence status
confirmed · 77% mass
General preference
48.1
Coding
47.7
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
19.4
Liquidity (providers × uptime)
74.7
Open reach (HF downloads)
76.4
Surface (context / tools / modalities)
50.3
Freshness
20.2
  • · OpenRouter popularity #105
  • · 5 live providers
  • · HF 30d downloads 772925
  • · Catalogue: context 262144, tools
  • · First seen 2025-07-29

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
86.0
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
99.8
Evaluation provenance
53.0

Missing: artifactReproducibility.base-lineage, 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
41.8
OpenRouter weekly popularity
#105 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

Status
Ranked
Source
LMArena
Official rank
#173 of 402
Rating
1382.3
95% confidence interval
1377–1387
Votes
23K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
19.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
74.7

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

Open reach15%
76.4

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

Freshness5%
20.2

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

Specification

Context window
262K tokens
Max output
32K tokens
Inputs
Text
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
29 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
0d7cf23991f4
Parameters
30.5B
Architecture
Qwen3MoeForCausalLM
Model type
qwen3_moe
Hugging Face downloads (30d)
773K
Downloads (all time)
17.1M
Likes
839
Repository updated
17 Sept 2025, 06:56 UTC

Compare Qwen3 30B A3B Instruct 2507 with

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Benchmark leaderboards featuring Qwen3 30B A3B Instruct 2507

All leaderboards
Public benchmark boards on which Qwen3 30B A3B Instruct 2507 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14391430–1448#155 of 397Default13 Sept 2026
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)41.4#32 of 83Function calling12 Apr 2026

Alternatives to Qwen3 30B A3B Instruct 2507, by the numbers

Ranked neighbours

Models within 3 places of #107 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 30B A3B Instruct 2507: common questions

How does Qwen3 30B A3B Instruct 2507 rank among AI models?

Qwen3 30B A3B Instruct 2507 holds ModelCap Index position #107 of 248 ranked language models as of 22 September 2026, with an Index score of 48.0 (interval 43.0–53.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen3 30B A3B Instruct 2507 cost per 1M tokens?

Qwen3 30B A3B Instruct 2507 is listed at $0.048 per 1M input tokens and $0.193 per 1M output tokens as of 22 September 2026 across 5 providers. 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 $0.193 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 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507 has a published context window of 262K tokens (262,144) and a maximum output of 32K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen3 30B A3B Instruct 2507 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/Qwen3-30B-A3B-Instruct-2507 on Hugging Face.

Which API providers serve Qwen3 30B A3B Instruct 2507?

5 providers serve Qwen3 30B A3B Instruct 2507 through OpenRouter as of 22 September 2026: StreamLake, DekaLLM, SiliconFlow, Nebius and Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3 30B A3B Instruct 2507 been evaluated on?

Qwen3 30B A3B Instruct 2507 has published results on 2 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1439 (#155 of 397) and BFCL V4 41.4 (#32 of 83). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Qwen3 30B A3B Instruct 2507 compare with Nanbeige4.1 3B?

Qwen3 30B A3B Instruct 2507 ranks #107 (Index 48.0) and Nanbeige4.1 3B ranks #108 (Index 46.9) 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 30B A3B Instruct 2507 released?

Qwen3 30B A3B Instruct 2507 first appeared in the catalogue on 29 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.