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ModelCap

Qwen3 Max

All-versions archive #103Arena #113API only

Qwen·qwen/qwen3-max

Qwen3 Max is ModelCap archive rank #103 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

Qwen3 Max listed OpenRouter input price is $0.78 per 1M tokens and listed output price is $3.90 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

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

Qwen3 Max has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

Qwen3 Max weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
62.2#103
Measured · 59% support · score interval 56.9–67.5
Evidence as of 13 Sept 2026, 00:00 UTC
Market Gravity
37.5Increased by 0.1
Secondary market signal

Superseded by Qwen3.8 Max (0902). It no longer holds a current-board position; its all-versions archive rank is #103.

Input
$0.78
per 1M tokens
Output
$3.90
per 1M tokens
Context
262K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Alibaba$0.78$3.90262K100.0%

Other versions (4)

ModelCap Index · All-versions archive

Methodology
62.2
Measured · 2 public benchmark observations across 2 boards
All-versions archive
#103
Public rank basis
Measured (measured)
Index support
59.3% · strong
Index interval
56.9–67.5
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-max · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
2
Qualified Index evidence point
62.2
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
62.2
Evidence status
confirmed · 76% mass
General preference
62.5
Coding
60.1
Agents & tools
Reasoning
Evidence breadth
92%
Evidence coverage
59%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
8.0
Liquidity (providers × uptime)
97.4
Open reach (HF downloads)
Surface (context / tools / modalities)
75.3
Freshness
25.1
  • · OpenRouter popularity #203
  • · 1 live provider
  • · Catalogue: context 262144, reasoning, tools
  • · First seen 2025-09-23

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
40.2
limited · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
80.0
Evaluation provenance
50.9

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, 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
37.5
OpenRouter weekly popularity
#203 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
#113 of 402
Rating
1423.7
95% confidence interval
1417–1430
Votes
9K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
8.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
97.4

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

Open reach15%
50.0

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

Freshness5%
25.1

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

Specification

Context window
262K tokens
Max output
66K tokens
Inputs
Text
Outputs
Text
Tokenizer
Qwen3
Cached input tokens
$0.156 / 1M
First seen on OpenRouter
23 Sept 2025
Knowledge cutoff
2025-06-30

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Benchmark leaderboards featuring Qwen3 Max

All leaderboards
Public benchmark boards on which Qwen3 Max has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14731460–1486#108 of 397Default13 Sept 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis74.3%#149 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3 Max":reasoning=false5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis11.9%#255 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3 Max":reasoning=false5 Sept 2026

Qwen3 Max: common questions

How does Qwen3 Max rank among AI models?

Qwen3 Max is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Qwen3 Max cost per 1M tokens?

Qwen3 Max is listed at $0.78 per 1M input tokens and $3.90 per 1M output tokens as of 22 September 2026. 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 $3.51 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 Max?

Qwen3 Max has a published context window of 262K tokens (262,144) and a maximum output of 66K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is Qwen3 Max open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve Qwen3 Max?

One provider serves Qwen3 Max through OpenRouter as of 22 September 2026: Alibaba. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen3 Max been evaluated on?

Qwen3 Max has published results on 3 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1473 (#108 of 397), AA τ²-Bench Telecom 74.3% (#149 of 436) and AA Humanity's Last Exam 11.9% (#255 of 615). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was Qwen3 Max released?

Qwen3 Max first appeared in the catalogue on 23 Sept 2025, with a published knowledge cutoff of 2025-06-30. It has since been superseded by Qwen3.8 Max (0902). Rank and price movements since then are recorded on the site's changes feed.