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ModelDeprecatedClosed / proprietaryIdentity probable

Qwen3 Max

Qwenfamily · Qwen3

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...

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data quality60

Updated 2 h ago · first seen 11 Sept 2026

model_01M294WWBQ2CJMWRWQE43B2E8H

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
qwen/qwen3-maxqwen/qwen3-max-thinkingqwen3-maxqwen3-max-thinkingIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Closed / proprietary— weights not available; 7 dimensions unknown.

Weights are not available; the model is reachable only through an API or a product.

  • Weights

    No

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Status

Source:Artificial AnalysisT2observed 14 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 2 h agomedium

Architecture

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 2 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 16 h agomedium

Tokenizer

Source:OpenRouter public model & pricing listingT2observed 2 h agomedium

Benchmarks24

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningonconditions differ across rows → partially comparable4−41.7 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−15.5 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable4−32.1vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−12.6 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−31.1 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamondreasoningonconditions differ across rows → partially comparable2−10.2 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 24 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing2

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inCache writeOutput / 1MStatusObservedSource
OpenRoutercheapest outputqwen/qwen3-max-thinking262.1Kout 65.5K——active2 h agosince 11 Sept 2026openrouter.aiT2
OpenRouterqwen/qwen3-max262.1Kout 65.5K$0.156$0.975active2 h agosince 11 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of Qwen3 Max$0$1$2$3$4$5Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $3.9 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $3.911 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Qwen3 Max$0$0.20$0.40$0.60$0.80$1Sept 26Sept 26Sept 26Sept 26Sept 26OpenRouter: first observed → $0.78 · 11 Sept 2026
  • OpenRouter
  • OpenRouterfirst observed $0.7811 Sept 2026

Versions & Artifacts0

Version history

Context window2 changes

11 Sept 2026→11 Sept 2026→12 Sept 2026current

Knowledge cutofffirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Statusfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline23

Full timeline →
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: openrouter listed at changed from 2026-02-09 to 2025-09-23

    Openrouter listed at9 Feb 2026→23 Sept 2025openrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: supported parameters changed from ["frequency_penalty", "include_reasoning", "logprobs", "m… to ["frequency_penalty", "logprobs", "max_tokens", "presence…

    Supported parametersfrequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p→frequency_penalty, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_popenrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: tokenizer changed from Qwen to Qwen3

    TokenizerQwen→Qwen3openrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: openrouter id changed from qwen/qwen3-max-thinking to qwen/qwen3-max

    Openrouter idqwen/qwen3-max-thinking→qwen/qwen3-maxopenrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: openrouter listed at changed from 2025-09-23 to 2026-02-09

    Openrouter listed at23 Sept 2025→9 Feb 2026openrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: supported parameters changed from ["frequency_penalty", "logprobs", "max_tokens", "presence… to ["frequency_penalty", "include_reasoning", "logprobs", "m…

    Supported parametersfrequency_penalty, logprobs, max_tokens, presence_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p→frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_popenrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: tokenizer changed from Qwen3 to Qwen

    TokenizerQwen3→Qwenopenrouter
    openrouter.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: openrouter id changed from qwen/qwen3-max to qwen/qwen3-max-thinking

    Openrouter idqwen/qwen3-max→qwen/qwen3-max-thinkingopenrouter
    openrouter.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 20.45% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 74.27% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 44.15% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 11.91% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 76.36% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 15.61 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 24.24% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 83.63% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 70.75% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 27.99% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 86.06% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelQwen3 MaxQwen

    Qwen3 Max scores 21.26 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: aa context window changed from 256000 to 262144

    Aa context window256,000→262,144artificial_analysis
    artificialanalysis.ai
  • Property changedModelQwen3 MaxQwen

    Qwen3 Max: reasoning changed from false to true

    ReasoningNo→Yesopenrouter
    openrouter.ai
  • Context window changedModelQwen3 MaxQwen

    Qwen3 Max Thinking: context length changed from 256000 to 262144

    Context window256K tokens→262.1K tokensopenrouter
    openrouter.ai

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
2 claims · 1 propertiesShow all properties

Statusstatus2

Claim history for Status
ValueValid from → toStatusSourceConfidenceExtractor
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic
deprecated → currentcurrentArtificial AnalysisT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

23

Source tiers

T223

Freshest observation

2 h ago

Conflicts

None

Source documents 2

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary2 h ago11
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary6 h ago2

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →