Skip to main content
BenchLM

Data as of September 29, 2026 · How the score is built

Superseded.Alibaba has newer models in this line:Qwen3.7 Plus
SupersededProprietaryReasoning

Released Apr 2, 20261M context

Qwen3.6 Plus

Decision readingQwen3.6 Plus scores 54.4 out of 100 and ranks #66 of 210. This profile shows 48 source-displayable benchmark rows; its strongest eligible category is Multilingual at #4. No comparable first-party API price is published in the catalog.

Released Apr 2, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

54.4/100

field median 50.5#66 of 210 ranked models

Public

#66of 210

Verified #38 of 74

Price

API rate not published

input median $1No comparable first-party hosted token rate

Speed

56tok/s

field median 92 tok/sFirst token 101.03 s

Context

1Mtokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Multilingual ranks #4. A well-rounded choice across a range of tasks.

Validate before choosing

48 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 48 displayable benchmark rows

Follow model changes

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #72 of 117Percentile 39thWeight 22%13 benchmarksVerified
33.4
CodingRank #57 of 143Percentile 61stWeight 20%7 benchmarksVerified
42.5
ReasoningRank Not rankedWeight 17%2 benchmarksVerified
61.3
MultimodalRank #24 of 50Percentile 53rdWeight 12%7 benchmarksMixed sources
67.2
KnowledgeRank #58 of 169Percentile 66thWeight 12%8 benchmarksVerified
52.1
MultilingualRank #4 of 12Percentile 73rdWeight 7%2 benchmarksVerified
69.7
Inst. FollowingRank #50 of 124Percentile 60thWeight 5%2 benchmarksVerified
82.5
MathRank #5 of 7Percentile 33rdWeight 5%7 benchmarksVerified
62.0

48 of 486 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic13/13 verified
  2. Coding7/7 verified
  3. Reasoning2/2 verified
  4. Multimodal6/7 verified
  5. Knowledge8/8 verified
  6. Multilingual2/2 verified
  7. Inst. Following2/2 verified
  8. Math7/7 verified
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Qwen3.6 Plus category percentile values

  • Agentic39th percentile
  • Coding61st percentile
  • ReasoningNot eligible
  • Multimodal53rd percentile
  • Knowledge66th percentile
  • Multilingual73rd percentile
  • Instruction following60th percentile
  • Math33rd percentile

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#72/117
  2. Coding#57/143
  3. ReasoningNot ranked
  4. Multimodal#24/50
  5. Knowledge#58/169
  6. Multilingual#4/12
  7. Inst. Following#50/124
  8. Math#5/7
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding7 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench ProScore56.6%Versus best verified row

Best verified: Claude Opus 5.5 · 89.9%

Gap33.3 behindWeight26% ref. weight
Provider exact
LiveCodeBench (Vals)LiveCodeBench, Vals AI runScore86.0%Versus best verified row

Best verified: Claude Fable 5.1 · 90.5%

Gap4.5 behindWeight8% ref. weight
SWE MultilingualScore73.8%Versus best verified row

Best verified: Claude Opus 5.5 · 93.9%

Gap20.1 behindWeight5% ref. weight
Provider exact
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore78.8%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap17.2 behindWeightDisplay only
Provider exact
LiveCodeBench v6Score87.1%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap6.1 behindWeightDisplay only
Provider exact
Vibe Code BenchVibe Code Bench v1.1Score25.56%Versus best verified row

Best verified: Claude Opus 4.7 · 71.00%

Gap45.4 behindWeightDisplay only
SWE-bench (Vals)SWE-bench, Vals AI runScore73.4%Versus best verified row

Best verified: Claude Opus 5 · 97.0%

Gap23.6 behindWeightDisplay only
Agentic13 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.0Score61.6%Versus best verified row

Best verified: GPT-5.5 · 82%

Gap20.4 behindWeight6% ref. weight
Provider exact
MCP AtlasScore48.2%Versus best verified row

Best verified: Muse Spark 1.1 · 88.1%

Gap39.9 behindWeight4% ref. weight
Provider exact
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore53.2%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap34.1 behindWeight3% ref. weight
ToolathlonScore39.8%Versus best verified row

Best verified: Muse Spark 1.1 · 75.6%

Gap35.8 behindWeight3% ref. weight
Provider exact
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore70.7%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap25.3 behindWeight2% ref. weight
Provider exact
Claw-EvalScore58.8%Versus best verified row

Best verified: Ornith-1.5-397B · 81.4%

Gap22.6 behindWeightDisplay only
Benchmark exact
QwenClawBenchScore57.2%Versus best verified row

Best verified: Qwen3.7 Max · 64.3%

Gap7.1 behindWeightDisplay only
Provider exact
VITA-BenchScore44.3%Versus best verified row

Best verified: Qwen3.7 Max · 47.9%

Gap3.6 behindWeightDisplay only
Provider exact
DeepPlanningScore41.5%Versus best verified row

Best verified: Qwen3.7 Plus · 62.3%

Gap20.8 behindWeightDisplay only
Provider exact
MCP-TasksScore74.1%Versus best verified row

Best verified: Qwen3.5 397B · 74.2%

Gap0.1 behindWeightDisplay only
Provider exact
WideResearchScore74.3%Versus best verified row

Best verified: Hy4 preview · 83.9%

Gap9.6 behindWeightDisplay only
Provider exact
Gert LabsGert Labs Composite Game BenchmarkScore50.60%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap22.4 behindWeightDisplay only
Benchmark exact
ResearchClawBenchScore18.0%Versus best verified row

Best verified: Claude Opus 4.8 · 21.1%

Gap3.1 behindWeightDisplay only
Reasoning2 rows
Reasoning benchmark values, best verified comparison, weight, and source status
LongBench v2Score62%Versus best verified row

Best verified: Qwen3.8 Max · 66.3%

Gap4.3 behindWeightWeighted 25%
Provider exact
AI-NeedleScore68.3%Versus best verified row

Best verified: Qwen3.5 397B · 68.7%

Gap0.4 behindWeightDisplay only
Provider exact
Multimodal7 rows
Multimodal benchmark values, best verified comparison, weight, and source status
MMMU-ProMassive Multi-discipline Multimodal Understanding ProScore78.8%Versus best verified row

Best verified: Gemini 3.5 Flash · 83.6%

Gap4.8 behindWeightWeighted 40%
CharXivCharXiv ReasoningScore81.5%Versus best verified row

Best verified: Qwen3.8 Max · 93.5%

Gap12 behindWeightWeighted 20%
MMMUMassive Multi-discipline Multimodal UnderstandingScore86.0%Versus best verified row

Best verified: Qwen3.6-27B · 82.9%

Gap3.1 behindWeightDisplay only
MathVisionScore88.0%Versus best verified row

Best verified: Qwen3.8 Max · 95.2%

Gap7.2 behindWeightDisplay only
VideoMMMUScore84.0%Versus best verified row

Best verified: Qwen3.8 Max · 88.7%

Gap4.7 behindWeightDisplay only
ScreenSpot ProScore68.2%Versus best verified row

Best verified: GPT-6 Astra · 92.7%

Gap24.5 behindWeightDisplay only
V*Score96.9%Versus best verified row

Best verified: Kimi K2.6 · 96.9%

GapBest verifiedWeightDisplay only
Knowledge8 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore28.8%Versus best verified row

Best verified: Claude Fable 5.1 · 65%

Gap36.2 behindWeight44% ref. weight
Provider exact
MMLU-ProMassive Multitask Language Understanding ProfessionalScore88.5%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap1.1 behindWeight6% ref. weight
Provider exact
MMLU-Pro (Vals)MMLU-Pro, Vals AI runScore87.7%Versus best verified row

Best verified: Claude Fable 5.1 · 92.4%

Gap4.7 behindWeight6% ref. weight
GPQAGraduate-Level Google-Proof Q&AScore90.4%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap5.6 behindWeight3% ref. weight
Provider exact
SuperGPQASuperGPQA: Scaling LLM Evaluation Across 285 Graduate DisciplinesScore71.6%Versus best verified row

Best verified: Qwen 3.6 Max (preview) · 73.9%

Gap2.3 behindWeight2% ref. weight
Provider exact
GPQA Diamond (Vals)GPQA Diamond, Vals AI runScore87.4%Versus best verified row

Best verified: Gemini 3.1 Pro · 95.5%

Gap8.1 behindWeight2% ref. weight
MMLU-ReduxScore94.5%Versus best verified row

Best verified: Qwen3.7 Max · 95%

Gap0.5 behindWeightDisplay only
Provider exact
C-EvalScore93.3%Versus best verified row

Best verified: Qwen3.6 Plus · 93.3%

GapBest verifiedWeightDisplay only
Provider exact
Multilingual2 rows
Multilingual benchmark values, best verified comparison, weight, and source status
MMLU-ProXScore84.7%Versus best verified row

Best verified: Qwen3.7 Max · 87%

Gap2.3 behindWeightWeighted 100%
Provider exact
NOVA-63Score57.9%Versus best verified row

Best verified: Qwen3.5 397B · 59.1%

Gap1.2 behindWeightDisplay only
Provider exact
Inst. Following2 rows
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore75.8%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap9.2 behindWeightWeighted 70%
Provider exact
IFEvalInstruction-Following EvalScore94.3%Versus best verified row

Best verified: Qwen3.5-27B · 95%

Gap0.7 behindWeightDisplay only
Provider exact
Math7 rows
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score26.207%Versus best verified row

Best verified: GPT-5.6 Sol · 89.000%

Gap62.8 behindWeightWeighted 30%
AIME26AIME 2026Score95.3%Versus best verified row

Best verified: GLM-5.2 · 99.2%

Gap3.9 behindWeightWeighted 25%
Provider exact
HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026Score87.8%Versus best verified row

Best verified: Qwen3.7 Max · 97.1%

Gap9.3 behindWeightWeighted 25%
Provider exact
FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4Score8.333%Versus best verified row

Best verified: GPT-6 Astra · 97.600%

Gap89.3 behindWeightWeighted 10%
HMMT Feb 2025Harvard-MIT Mathematics Tournament February 2025Score96.7%Versus best verified row

Best verified: Qwen3.6 Plus · 96.7%

GapBest verifiedWeightDisplay only
Provider exact
HMMT Nov 2025Harvard-MIT Mathematics Tournament November 2025Score94.6%Versus best verified row

Best verified: Qwen3.6 Plus · 94.6%

GapBest verifiedWeightDisplay only
Provider exact
MMAnswerBenchScore83.8%Versus best verified row

Best verified: GLM-5.2 · 91.0%

Gap7.2 behindWeightDisplay only
Provider exact

Bars run 0–100; the dark tick marks the best source-verified value

All 48 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 2, 2026 · you are here

    Qwen3.6 Plus

    Score 54.4 · Price not listed

  2. Jun 3, 2026

    Qwen3.7 Plus

    Score 55.7 · Price not listed

Base entry

Radar

Qwen3.6 Plus release history

Full release history

Radar confirmed these at the source. Use Qwen3.6 Plus in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
1M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Qwen3.6 Plus ranks #66 of 210 on the public leaderboard with a score of 54.44/100. Its source-verified position is #38 of 74.

Qwen3.6 Plus is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Official first-party benchmark snapshot from Qwen's April 2, 2026 Qwen3.6 launch post, plus public release metadata for the hosted Qwen3.6 Plus model.

48 of 486 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multilingual at #4, while its lowest eligible position is Agentic at #72. a well-rounded choice across a range of tasks.

Last updated September 29, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Qwen3.6 Plus perform overall in AI benchmarks?

Qwen3.6 Plus ranks #66 out of 210 models on the public BenchAlign leaderboard, with a score of 54.44/100. Its evidence status is Supported, and this profile shows 48 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Qwen3.6 Plus good for knowledge and understanding?

Qwen3.6 Plus ranks #58 out of 169 eligible models for knowledge and understanding, with a public category score of 52.1/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for coding and programming?

Qwen3.6 Plus ranks #57 out of 143 eligible models for coding and programming, with a public category score of 42.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for mathematics?

Qwen3.6 Plus ranks #5 out of 7 eligible models for mathematics, with a public category score of 62/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for reasoning and logic?

Qwen3.6 Plus has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3.6 Plus good for agentic tool use and computer tasks?

Qwen3.6 Plus ranks #72 out of 117 eligible models for agentic tool use and computer tasks, with a public category score of 33.4/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for multimodal and grounded tasks?

Qwen3.6 Plus ranks #24 out of 50 eligible models for multimodal and grounded tasks, with a public category score of 67.2/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for instruction following?

Qwen3.6 Plus ranks #50 out of 124 eligible models for instruction following, with a public category score of 82.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Qwen3.6 Plus good for multilingual tasks?

Qwen3.6 Plus ranks #4 out of 12 eligible models for multilingual tasks, with a public category score of 69.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Does Qwen3.6 Plus have full benchmark coverage on BenchLM?

No. Qwen3.6 Plus currently has 63 source-displayable rows across 486 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Qwen3.6 Plus?

Qwen3.6 Plus has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Watch Qwen3.6 Plus in the weekly brief

Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.

Read a sample issue

Join 2,000+ readers.

Compare Qwen3.6 Plus with every tracked model513 comparisons