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GPT-5 vs Qwen3.6 Plus

Qwen3.6 Plus leads GPT-5 on coding, 44.1 to 38.8 on the Vibe Coding Index, and Qwen3.6 Plus costs 5.1x less per output token ($1.95 vs $10.00 per million). Updated October 21, 2026; 71 benchmarks have a result for both.

GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
16
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
55
vs boards won of 71 shared

GPT-5 or Qwen3.6 Plus: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for a lower cost per solved task ($0.39 against $1.19) and work measured by ALE-Bench or Epoch Capabilities Index, where it leads.

Shared results
71
GPT-5 only
42
Qwen3.6 Plus only
12
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5 38.8 from 3 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Agentic work, 11.1 points apart on average over 1 shared benchmark.
Widest single gap
Chess puzzles: GPT-5 36.0% against Qwen3.6 Plus 14.0%, 22.0 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3.6 Plus $1.95 per million output tokens, 5.1x apart.
Context window
GPT-5 takes 400K tokens, Qwen3.6 Plus 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-5BarsQwen3.6 PlusTies
Coding19
Intelligence11
Agentic work01
Reasoning37
Math14
Knowledge48
Web design26
General419
All shared boards1655
CodingLike-for-likeSix of these boards feed the Vibe Coding Index19
Coding benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181461Qwen3.6 Plus
AA Coding Index37.854.5Qwen3.6 Plus
LiveCodeBench (Vals AI)85.9%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)69.0%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)20.1%25.6%Qwen3.6 Plus
Code migration (Vals AI)Not measured11.1%Only Qwen3.6 Plus measured
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%43.9%Qwen3.6 Plus
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6670.1GPT-5
LMArena Text: coding14361467Qwen3.6 Plus
LMArena Text: software and IT14201462Qwen3.6 Plus
LMArena WebDev: ReactNot measured1454Only Qwen3.6 Plus measured
LMArena WebDev: HTML14271463Qwen3.6 Plus
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
AA Intelligence Index23.027.0Qwen3.6 Plus
Epoch Capabilities Index150.0147.3GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench Telecom86.5%97.7%Qwen3.6 Plus
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
Reasoning benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
GPQA Diamond85.6%87.4%Qwen3.6 Plus
MMMU Pro (Vals AI)81.5%84.2%Qwen3.6 Plus
GPQA Diamond (Artificial Analysis run)85.4%88.2%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)28.5%27.8%GPT-5
GPQA Diamond (Epoch AI run)86.2%88.4%Qwen3.6 Plus
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%14.0%GPT-5
Mystery game puzzles23.0%12.0%GPT-5
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151448Qwen3.6 Plus
LMArena Text: expert14191454Qwen3.6 Plus
LMArena Text: hard prompts in English14191455Qwen3.6 Plus
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
AIME93.4%94.6%Qwen3.6 Plus
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%93.3%Qwen3.6 Plus
FrontierMath, tiers 1 to 355.4%38.2%GPT-5
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071449Qwen3.6 Plus
LMArena Text: mathematical work14051448Qwen3.6 Plus
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index48
Knowledge benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
MMLU Pro86.5%87.7%Qwen3.6 Plus
LegalBench (Vals AI)86.0%84.2%GPT-5
CaseLaw (Vals AI)66.5%51.5%GPT-5
CorpFin (Vals AI)61.1%61.9%Qwen3.6 Plus
TaxEval (Vals AI)73.4%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)65.5%68.0%Qwen3.6 Plus
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%36.9%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%44.1%GPT-5
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161439Qwen3.6 Plus
LMArena Text: medicine and healthcare14131442Qwen3.6 Plus
LMArena Text: legal and government14311437Qwen3.6 Plus
LMArena Text: business and finance14001430Qwen3.6 Plus
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index26
Web design benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
Design Arena: websites11841243Qwen3.6 Plus
Design Arena: UI components11801233Qwen3.6 Plus
Design Arena: game dev11851211Qwen3.6 Plus
Design Arena: data viz12211228Qwen3.6 Plus
Design Arena: 3D10561202Qwen3.6 Plus
Design Arena: all code categories11681236Qwen3.6 Plus
Design Arena: SVG11891161GPT-5
Design Arena: ASCII art11411113GPT-5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index419
General benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
SAGE (Vals AI)43.7%44.9%Qwen3.6 Plus
MedScribe (Vals AI)83.7%77.0%GPT-5
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBench73.1%75.2%Qwen3.6 Plus
Long context reasoning (AA-LCR)78.2%78.3%Qwen3.6 Plus
DTBench90.7%81.9%GPT-5
LMCA40.0%33.1%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text14061436Qwen3.6 Plus
LMArena Text: instruction following13881424Qwen3.6 Plus
LMArena Text: creative writing13651404Qwen3.6 Plus
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English14091445Qwen3.6 Plus
LMArena Text: non-English13971424Qwen3.6 Plus
LMArena Text: Chinese14221477Qwen3.6 Plus
LMArena Text: German14161451Qwen3.6 Plus
LMArena Text: Japanese14091390GPT-5
LMArena Text: Korean13601379Qwen3.6 Plus
LMArena Text: French14091455Qwen3.6 Plus
LMArena Text: Spanish13991432Qwen3.6 Plus
LMArena Text: Russian14071434Qwen3.6 Plus
LMArena Text: Polish14311433Qwen3.6 Plus
LMArena Text: multi-turn14261438Qwen3.6 Plus
LMArena Text: longer queries13991439Qwen3.6 Plus
LMArena Text: writing and language13841418Qwen3.6 Plus
LMArena Text: entertainment and media13791402Qwen3.6 Plus
LMArena Vision: English1231Not measuredOnly GPT-5 measured
LMArena Vision: Chinese1267Not measuredOnly GPT-5 measured
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and Qwen3.6 Plus
BenchmarkGPT-5Qwen3.6 PlusLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5$0.0063Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5 and Qwen3.6 Plus
SpecificationOpenAI GPT-5Qwen3.6 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025April 2, 2026
Context window400K1M
Input $/Mtok$1.25$0.325
Output $/Mtok$10.00$1.95
Coding index38.844.1
Independent measurements behind it33
Cost per solved task$0.39$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Qwen3.6 Plus for coding?

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for a lower cost per solved task ($0.39 against $1.19) and work measured by ALE-Bench or Epoch Capabilities Index, where it leads.

Which is cheaper, GPT-5 or Qwen3.6 Plus?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and Qwen3.6 Plus $1.19.

Which has the bigger context window, GPT-5 or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 400K.

How many benchmarks is the GPT-5 vs Qwen3.6 Plus comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-vs-qwen3-6-plus">LLMBenchmark.ai, GPT-5 vs Qwen3.6 Plus</a></p>