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ModelCap

Qwen3 Next 80B A3B Thinking

Current board #116Arena #184Official publisher releaseOpen weights

Qwen·qwen/qwen3-next-80b-a3b-thinking

Qwen3 Next 80B A3B Thinking is ModelCap current-board rank #116 with Index 44.3 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3 Next 80B A3B Thinking listed OpenRouter input price is $0.15 per 1M tokens and listed output price is $1.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

Qwen3 Next 80B A3B Thinking has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

Qwen3 Next 80B A3B Thinking has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3 Next 80B A3B Thinking 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
44.3#116
Measured · 63% support · score interval 39.3–49.3
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
19.1Increased by 0.1
Secondary market signal
Input
$0.15
per 1M tokens
Output
$1.20
per 1M tokens
Context
262K
tokens
Providers
2
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
GoogleglobalCheapest$0.15$1.20262K
Alibaba$0.15$1.20131K

Reported evaluation leads (3)

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
gpqa_diamond
73.4
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
open_question
43.37
Unpinned
not published
Reported
Quarantined
LEXam-Benchmark/LEXam
mcq_4_choices
43.31
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
44.3
Measured · 2 public benchmark observations across 2 boards
Current board
#116
Public rank basis
Measured (measured)
Index support
62.5% · strong
Index interval
39.3–49.3
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-next-80b-a3b-thinking · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen3-Next-80B-A3B-Thinking@e502dd4100cc68c0de57643fd4317ec93a128670 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
44.3
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
44.3
Evidence status
confirmed · 77% mass
General preference
44.5
Coding
42.9
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
2.4
Liquidity (providers × uptime)
46.6
Open reach (HF downloads)
33.1
Surface (context / tools / modalities)
75.3
Freshness
23.9
  • · OpenRouter popularity #281
  • · 2 live providers
  • · HF 30d downloads 43419
  • · Catalogue: context 262144, reasoning, tools
  • · First seen 2025-09-11

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
82.9
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
90.0
Evaluation provenance
51.9

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
19.1
OpenRouter weekly popularity
#281 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
#184 of 402
Rating
1369.0
95% confidence interval
1363–1375
Votes
13K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
2.4

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
46.6

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

Open reach15%
33.1

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

Freshness5%
23.9

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

Specification

Context window
262K tokens
Max output
33K tokens
Inputs
Text
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
Not offered
First seen on OpenRouter
11 Sept 2025
Knowledge cutoff
2025-09-30

Capabilities

  • 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
e502dd4100cc
Parameters
81.3B
Architecture
Qwen3NextForCausalLM
Model type
qwen3_next
Hugging Face downloads (30d)
43K
Downloads (all time)
2.5M
Likes
496
Repository updated
15 Sept 2025, 09:12 UTC

Compare Qwen3 Next 80B A3B Thinking with

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Benchmark leaderboards featuring Qwen3 Next 80B A3B Thinking

All leaderboards
Public benchmark boards on which Qwen3 Next 80B A3B Thinking has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14221410–1433#179 of 397Default13 Sept 2026

Alternatives to Qwen3 Next 80B A3B Thinking, by the numbers

Ranked neighbours

Models within 3 places of #116 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 Next 80B A3B Thinking: common questions

How does Qwen3 Next 80B A3B Thinking rank among AI models?

Qwen3 Next 80B A3B Thinking holds ModelCap Index position #116 of 248 ranked language models as of 22 September 2026, with an Index score of 44.3 (interval 39.3–49.3); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen3 Next 80B A3B Thinking cost per 1M tokens?

Qwen3 Next 80B A3B Thinking is listed at $0.15 per 1M input tokens and $1.20 per 1M output tokens as of 22 September 2026 across 2 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 $0.90 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 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Thinking has a published context window of 262K tokens (262,144) and a maximum output of 33K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen3 Next 80B A3B Thinking 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-Next-80B-A3B-Thinking on Hugging Face.

Which API providers serve Qwen3 Next 80B A3B Thinking?

2 providers serve Qwen3 Next 80B A3B Thinking through OpenRouter as of 22 September 2026: Google and Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3 Next 80B A3B Thinking been evaluated on?

Qwen3 Next 80B A3B Thinking has published results on 1 public board tracked by ModelCap as of 22 September 2026: Arena coding 1422 (#179 of 397). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Qwen3 Next 80B A3B Thinking compare with UI Venus 2 9B?

Qwen3 Next 80B A3B Thinking ranks #116 (Index 44.3) and UI Venus 2 9B ranks #117 (Index 43.7) 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 Next 80B A3B Thinking released?

Qwen3 Next 80B A3B Thinking first appeared in the catalogue on 11 Sept 2025, with a published knowledge cutoff of 2025-09-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.