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Qwen3.6 Plus

deprecated by benchmark source
Alibaba · released 2026-04-02 · 1 offers

Context 1M tokens

Top 0 cheapest providers (Adjusted $/task)

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Composite

2 of 7 inputs6 radar axes: DesignArena's two boards share one

56.4

includes −6.1 for its Benchmaxxing signal (from 62.5; why, switch off in Options)

dominance-adjusted from 65.6: a better-measured model that is at least as good on each of these inputs ranks above it

Benchmaxxing signal +6.1, medium Benchmaxxing tag, uncertain: Based on only 7 comparisons — treat this tag as uncertain · medium report →Based on only 7 comparisons — treat this tag as uncertain.

AA CodingCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaAA Coding: percentile 62AA Intelligence: percentile 83

AA Coding 54.5Coding Agent v1.4 —AA Intelligence 27.0AA Agentic —Epoch ECI —Software ECI —DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

26 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

Compare this model →

Agentic

  • GDPval-AA v2521,066 Elo

    GDPval-AA v2 v2 ↗ · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

  • Terminal-Bench Hard (AA)9143.9%

    Terminal-Bench Hard (AA) pinned revision 74221fb ↗ · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

  • Terminal-Bench v2.1 (AA)6061.4%

    Terminal-Bench v2.1 (AA) v2.1 ↗ · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.

  • Vals Index v2 (Vals AI)1032.0%

    Vals Index v2 (Vals AI) v2 ↗ · Published board — GDP-weighted average of agentic model performance across finance, coding and legal tasks.

  • Finance Agent v2 (Vals Index v2)1040.8%

    Finance Agent v2 (Vals Index v2) v2 ↗ · Published board — Multi-step financial reasoning tasks.

  • Terminal-Bench 2.1 (Vals Index v2)753.2%

    Terminal-Bench 2.1 (Vals Index v2) v2 ↗ · Published board — Command-line interface problem solving, as run by Vals AI.

  • HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)111.3%

    HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 ↗ · Published board — Long-horizon legal work product creation. Vals AI's run of Harvey's Legal Agent Benchmark, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.

Coding

Efficiency

Instruction-following

Knowledge

Long-context

  • AA-LCR v1.18578.3%

    AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.

Math

  • FrontierMath Tiers 1–3 v2 (Epoch AI)938.2%

    FrontierMath Tiers 1–3 v2 (Epoch AI) v2 ↗ · Published board — Unpublished, expert-written mathematics problems from undergraduate to research level with automatically checkable answers, run by Epoch AI on its private v2 set.

Reasoning

  • Chess Puzzles (Epoch AI)3117.0%

    Chess Puzzles (Epoch AI) published 2026-09-18 ↗ · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.

  • AA Intelligence Index8327.0

    AA Intelligence Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.

Science

Tool-use

Vision

Unusual results

6 threshold-crossing signals flagged · 27 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

  • unusually weak Excel Modeling Benchmark (Vals Index v2)
    Why
    Observed: 32.867 percent
    Peer mean 59.33688 · peer sd 13.75792 · n 33 · families 32
    Directed z -1.924 · baseline z -0.005 · gap -1.919 · profile n 26
    32.867 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Excel Modeling Benchmark (Vals Index v2) · v2 · Published board
    Exact value: 32.867 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:b9e6ea78ba404c1476189735
  • unusually weak Vibe Code Bench (Vals Index v2)
    Why
    Observed: 25.565 percent
    Peer mean 65.32897 · peer sd 21.57746 · n 32 · families 31
    Directed z -1.843 · baseline z -0.008 · gap -1.834 · profile n 26
    25.565 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Vibe Code Bench (Vals Index v2) · v2 · Published board
    Exact value: 25.565 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:0f661aa4cf5616efff987555
  • unusually weak Legal Research Bench (Vals Index v2)
    Why
    Observed: 14.904 percent
    Peer mean 36.58215 · peer sd 12.01783 · n 33 · families 32
    Directed z -1.804 · baseline z -0.01 · gap -1.794 · profile n 26
    14.904 percentmeasuredobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Legal Research Bench (Vals Index v2) · v2 · Published board
    Exact value: 14.904 percent
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:56f66065c8216af200a5f9aa
  • unusually weak Vals Index v2 (Vals AI)
    Why
    Observed: 31.979 percent
    Peer mean 53.34655 · peer sd 11.98829 · n 31 · families 30
    Directed z -1.782 · baseline z -0.011 · gap -1.772 · profile n 26
    31.979 percentmeasured· 2.62 USD per rolloutobserved 2026-09-18vals.ai ↗
    Evidence
    Axis: Vals Index v2 (Vals AI) · v2 · Published board
    Exact value: 31.979 percent
    Published mean cost: 2.618074 USD per rollout
    Observed: 2026-09-18T13:00:43.826192+00:00 · publication date: not recorded
    Observation id: public:c455af425b18858185cc73d8
  • unusually strong IFBench (AA single-turn) published 2026-09-10
    Why
    Observed: 0.7517 fraction
    Peer mean 0.48006 · peer sd 0.17139 · n 450 · families 331
    Directed z 1.585 · baseline z -0.14 · gap 1.725 · profile n 26
    0.7517 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: IFBench (AA single-turn) · published 2026-09-10 · Published board
    Exact value: 0.751700680272109 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:f371ad68-6947-4767-a78f-1f6c81f96b93:ifbench
  • unusually strong Terminal-Bench Hard (AA)
    Why
    Observed: 0.43939 fraction
    Peer mean 0.18472 · peer sd 0.16951 · n 432 · families 315
    Directed z 1.502 · baseline z -0.137 · gap 1.639 · profile n 26
    0.43939 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗
    Evidence
    Axis: Terminal-Bench Hard (AA) · pinned revision 74221fb · Published board
    Exact value: 0.439393939393939 fraction
    Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
    Observation id: aa:f371ad68-6947-4767-a78f-1f6c81f96b93:terminalbenchHard
Missing coverage · 117 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

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Qwen3.6 Plus — benchmarks & cost | Benchmark Heaven