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GPT-5 vs Qwen3.7 Max

Qwen3.7 Max leads GPT-5 on coding, 54.1 to 38.8 on the Vibe Coding Index, and Qwen3.7 Max costs 2.3x less per output token ($4.425 vs $10.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace GPT-5 Replace Qwen3.7 Max
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
6
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
36
vs boards won of 42 shared

GPT-5 or Qwen3.7 Max: which to pick

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for a lower cost per solved task ($0.39 against $4.69) and work measured by SWE-bench Verified (Vals AI) or Chess puzzles, where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task
Shared results
42
GPT-5 only
71
Qwen3.7 Max only
17
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, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category
Coding, 13.9 points apart on average over 8 shared benchmarks.
Widest single gap
AA Coding Index: GPT-5 37.8 against Qwen3.7 Max 66.0, 28.2 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3.7 Max $4.425 per million output tokens, 2.3x apart.
Context window
GPT-5 takes 400K tokens, Qwen3.7 Max 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 MaxTies
Coding17
Intelligence02
Agentic work01
Reasoning26
Math04
Knowledge24
Web design08
General14
All shared boards636
CodingLike-for-likeSix of these boards feed the Vibe Coding Index17
Coding benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev14181515Qwen3.7 Max
AA Coding Index37.866.0Qwen3.7 Max
LiveCodeBench (Vals AI)85.9%87.1%Qwen3.7 Max
SWE-bench Verified (Vals AI)69.0%68.8%GPT-5
Vibe Code Bench (Vals AI)20.1%47.7%Qwen3.7 Max
Code migration (Vals AI)Not measured13.1%Only Qwen3.7 Max measured
Terminal-Bench 2.1 (Vals AI)Not measured61.0%Only Qwen3.7 Max measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
SciCodeNot measured49.5%Only Qwen3.7 Max measured
Terminal-Bench Hard (Artificial Analysis run)37.9%50.8%Qwen3.7 Max
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%Not measuredOnly GPT-5 measured
ALE-Bench807.61189.4Qwen3.7 Max
LMArena Text: coding1436Not measuredOnly GPT-5 measured
LMArena Text: software and IT1420Not measuredOnly GPT-5 measured
LMArena WebDev: ReactNot measured1514Only Qwen3.7 Max measured
LMArena WebDev: HTML14271512Qwen3.7 Max
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
AA Intelligence Index23.029.5Qwen3.7 Max
Epoch Capabilities Index150.0154.0Qwen3.7 Max
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
AA Agentic IndexNot measured22.5Only Qwen3.7 Max measured
Design Arena: agents building web appsNot measured1208Only Qwen3.7 Max measured
Design Arena: agents building full-stack appsNot measured1191Only Qwen3.7 Max measured
Design Arena: agents building mobile appsNot measured1155Only Qwen3.7 Max measured
Design Arena: agents building Android appsNot measured1159Only Qwen3.7 Max measured
Design Arena: agents building Godot gamesNot measured1187Only Qwen3.7 Max measured
Design Arena: agents building gamesNot measured1161Only Qwen3.7 Max measured
Design Arena: HTML slidesNot measured1108Only Qwen3.7 Max measured
Design Arena: PowerPoint slidesNot measured1171Only Qwen3.7 Max measured
Finance Agent (Vals AI)Not measured47.8%Only Qwen3.7 Max measured
Tax Agent Bench (Vals AI)Not measured15.8%Only Qwen3.7 Max measured
Legal Research Bench (Vals AI)Not measured25.5%Only Qwen3.7 Max measured
Excel Modeling Benchmark (Vals AI)Not measured57.0%Only Qwen3.7 Max measured
τ²-Bench Telecom86.5%94.7%Qwen3.7 Max
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
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index26
Reasoning benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
GPQA Diamond85.6%90.2%Qwen3.7 Max
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%92.3%Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)28.5%40.5%Qwen3.7 Max
GPQA Diamond (Epoch AI run)86.2%90.9%Qwen3.7 Max
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%70.4%Qwen3.7 Max
Chess puzzles36.0%26.0%GPT-5
Mystery game puzzles23.0%32.0%Qwen3.7 Max
EBR-bench12.7%9.5%GPT-5
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts1415Not measuredOnly GPT-5 measured
LMArena Text: expert1419Not measuredOnly GPT-5 measured
LMArena Text: hard prompts in English1419Not measuredOnly GPT-5 measured
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 index04
Math benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
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%95.6%Qwen3.7 Max
FrontierMath, tiers 1 to 355.4%64.6%Qwen3.7 Max
FrontierMath, tier 422.0%34.1%Qwen3.7 Max
ProofBench18.0%26.0%Qwen3.7 Max
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math1407Not measuredOnly GPT-5 measured
LMArena Text: mathematical work1405Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
MMLU Pro86.5%89.3%Qwen3.7 Max
LegalBench (Vals AI)86.0%84.9%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%63.7%Qwen3.7 Max
TaxEval (Vals AI)73.4%75.3%Qwen3.7 Max
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%38.8%GPT-5
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%55.8%Qwen3.7 Max
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science1416Not measuredOnly GPT-5 measured
LMArena Text: medicine and healthcare1413Not measuredOnly GPT-5 measured
LMArena Text: legal and government1431Not measuredOnly GPT-5 measured
LMArena Text: business and finance1400Not measuredOnly GPT-5 measured
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 index08
Web design benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
Design Arena: websites11841274Qwen3.7 Max
Design Arena: UI components11771267Qwen3.7 Max
Design Arena: game dev11851264Qwen3.7 Max
Design Arena: data viz12211275Qwen3.7 Max
Design Arena: 3D10551265Qwen3.7 Max
Design Arena: all code categories11671275Qwen3.7 Max
Design Arena: SVG11881216Qwen3.7 Max
Design Arena: ASCII art11411211Qwen3.7 Max
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index14
General benchmarks for GPT-5 and Qwen3.7 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%79.4%GPT-5
IFBench73.1%80.5%Qwen3.7 Max
Long context reasoning (AA-LCR)78.2%79.0%Qwen3.7 Max
DTBench90.7%92.3%Qwen3.7 Max
LMCA40.0%44.0%Qwen3.7 Max
Fiction.LiveBench97.2%Not measuredOnly GPT-5 measured
Creative writing (Lech Mazur)86.0%Not measuredOnly GPT-5 measured
LMArena Text1406Not measuredOnly GPT-5 measured
LMArena Text: instruction following1388Not measuredOnly GPT-5 measured
LMArena Text: creative writing1365Not measuredOnly GPT-5 measured
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English1409Not measuredOnly GPT-5 measured
LMArena Text: non-English1397Not measuredOnly GPT-5 measured
LMArena Text: Chinese1422Not measuredOnly GPT-5 measured
LMArena Text: German1416Not measuredOnly GPT-5 measured
LMArena Text: Japanese1409Not measuredOnly GPT-5 measured
LMArena Text: Korean1360Not measuredOnly GPT-5 measured
LMArena Text: French1409Not measuredOnly GPT-5 measured
LMArena Text: Spanish1399Not measuredOnly GPT-5 measured
LMArena Text: Russian1407Not measuredOnly GPT-5 measured
LMArena Text: Polish1431Not measuredOnly GPT-5 measured
LMArena Text: multi-turn1426Not measuredOnly GPT-5 measured
LMArena Text: longer queries1399Not measuredOnly GPT-5 measured
LMArena Text: writing and language1384Not measuredOnly GPT-5 measured
LMArena Text: entertainment and media1379Not measuredOnly GPT-5 measured
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 13 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 Max
BenchmarkGPT-5Qwen3.7 MaxLeader
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 Max$0.0037Fits in one request

Qwen3.7 Max costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3.7 Max$0.087Fits in one request

Qwen3.7 Max costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3.7 Max$0.339Fits in one request

Qwen3.7 Max 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 Max
SpecificationOpenAI GPT-5Qwen3.7 Max
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025May 21, 2026
Context window400K1M
Input $/Mtok$1.25$1.475
Output $/Mtok$10.00$4.425
Coding index38.854.1
Independent measurements behind it33
Cost per solved task$0.39$4.69
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for a lower cost per solved task ($0.39 against $4.69) and work measured by SWE-bench Verified (Vals AI) or Chess puzzles, where it leads.

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

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, GPT-5 costs $0.39 and Qwen3.7 Max $4.69.

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

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

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

42 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3.7 Max'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-qwen3-7-max">LLMBenchmark.ai, GPT-5 vs Qwen3.7 Max</a></p>