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GPT-5 vs Qwen3.7 Plus

Updated October 21, 2026. 62 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5 Replace Qwen3.7 Plus
GPT-5OpenAI
Coding
38.8
Overall
23.0
Output $/M
$10.00
7
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
55
vs boards won of 62 shared

Decision reading

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus when output tokens cost 7.8x less, or when the context window is larger, 1M against 400K tokens.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
62
GPT-5 only
47
Qwen3.7 Plus only
13
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 13.7 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5 20.1% against Qwen3.7 Plus 46.4%, 26.3 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3.7 Plus $1.28 per million output tokens, 7.8x apart.
Context window
GPT-5 takes 400K tokens, Qwen3.7 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-5BarsQwen3.7 PlusTies
Coding05
Intelligence11
Agentic work01
Reasoning18
Math13
Knowledge05
Web design08
General424
All shared boards755
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev1418Not measuredOnly GPT-5 measured
AA Coding Index37.855.9Qwen3.7 Plus
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%46.4%Qwen3.7 Plus
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)37.9%47.0%Qwen3.7 Plus
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361473Qwen3.7 Plus
LMArena Text: software and IT14201473Qwen3.7 Plus
LMArena WebDev: HTML1427Not 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 Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
AA Intelligence Index23.025.2Qwen3.7 Plus
Epoch Capabilities Index150.0147.0GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench Telecom86.5%93.0%Qwen3.7 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
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)28.5%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)86.2%87.9%Qwen3.7 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%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%17.0%GPT-5
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151460Qwen3.7 Plus
LMArena Text: expert14191466Qwen3.7 Plus
LMArena Text: hard prompts in English14191460Qwen3.7 Plus
LMArena Vision: diagrams12521292Qwen3.7 Plus
LMArena Vision: homework12781295Qwen3.7 Plus
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
AIME93.4%Not measuredOnly GPT-5 measured
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%Qwen3.7 Plus
FrontierMath, tiers 1 to 355.4%34.4%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: math14071467Qwen3.7 Plus
LMArena Text: mathematical work14051470Qwen3.7 Plus
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%66.2%Qwen3.7 Plus
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%Not measuredOnly GPT-5 measured
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161464Qwen3.7 Plus
LMArena Text: medicine and healthcare14131464Qwen3.7 Plus
LMArena Text: legal and government14311451Qwen3.7 Plus
LMArena Text: business and finance14001435Qwen3.7 Plus
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
Design Arena: websites11851269Qwen3.7 Plus
Design Arena: UI components11801261Qwen3.7 Plus
Design Arena: game dev11851262Qwen3.7 Plus
Design Arena: data viz12211275Qwen3.7 Plus
Design Arena: 3D10561239Qwen3.7 Plus
Design Arena: all code categories11681269Qwen3.7 Plus
Design Arena: SVG11891208Qwen3.7 Plus
Design Arena: ASCII art11401144Qwen3.7 Plus
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index424
General benchmarks for GPT-5 and Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 PlusLeader
SAGE (Vals AI)43.7%39.3%GPT-5
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench73.1%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)78.2%73.0%GPT-5
DTBench90.7%84.0%GPT-5
LMCA40.0%37.6%GPT-5
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text14061454Qwen3.7 Plus
LMArena Text: instruction following13881439Qwen3.7 Plus
LMArena Text: creative writing13651438Qwen3.7 Plus
LMArena Vision12321278Qwen3.7 Plus
LMArena Text: English14091458Qwen3.7 Plus
LMArena Text: non-English13971445Qwen3.7 Plus
LMArena Text: Chinese14221509Qwen3.7 Plus
LMArena Text: German14161471Qwen3.7 Plus
LMArena Text: Japanese14091412Qwen3.7 Plus
LMArena Text: Korean13601413Qwen3.7 Plus
LMArena Text: French14091472Qwen3.7 Plus
LMArena Text: Spanish13991457Qwen3.7 Plus
LMArena Text: Russian14071457Qwen3.7 Plus
LMArena Text: Polish14311449Qwen3.7 Plus
LMArena Text: multi-turn14261459Qwen3.7 Plus
LMArena Text: longer queries13991454Qwen3.7 Plus
LMArena Text: writing and language13841437Qwen3.7 Plus
LMArena Text: entertainment and media13791422Qwen3.7 Plus
LMArena Vision: English12311280Qwen3.7 Plus
LMArena Vision: Chinese12671332Qwen3.7 Plus
LMArena Vision: reading text12461288Qwen3.7 Plus
LMArena Vision: humor12191261Qwen3.7 Plus
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing12101258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus 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 Qwen3.7 Plus
BenchmarkGPT-5Qwen3.7 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
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 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 Qwen3.7 Plus
SpecificationOpenAI GPT-5Qwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025June 3, 2026
Context window400K1M
Input $/Mtok$1.25$0.32
Output $/Mtok$10.00$1.28
Coding index38.833.2
Independent measurements behind it32
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Qwen3.7 Plus for coding?

Pick GPT-5 for coding: it scores 38.8 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus when output tokens cost 7.8x less, or when the context window is larger, 1M against 400K tokens.

Which is cheaper, GPT-5 or Qwen3.7 Plus?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 400K.

How many benchmarks is the GPT-5 vs Qwen3.7 Plus comparison based on?

62 benchmarks have a result for both models as of October 21, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3.7 Plus's on 2. 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-qwen3-7-plus">LLMBenchmark.ai, GPT-5 vs Qwen3.7 Plus</a></p>