GPT-5 Mini vs Qwen3.7 Max

Qwen3.7 Max leads GPT-5 Mini on coding, 54.1 to 34.2 on the Vibe Coding Index, and GPT-5 Mini costs 2.2x less per output token ($2.00 vs $4.425 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace GPT-5 Mini Replace Qwen3.7 Max

GPT-5 MiniOpenAI

Coding: 34.2
Overall: 43.7
Output $/M: $2.00

Qwen3.7 MaxQwen

Coding: 54.1
Overall: 61.7
Output $/M: $4.425

vs boards won of 37 shared

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

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 34.2 for GPT-5 Mini.

Pick GPT-5 Mini for output tokens 2.2x cheaper ($2.00 vs $4.425 per million) and a lower cost per solved task ($0.08 against $4.69).

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task Model BQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved task

376422

Shared results: 37
GPT-5 Mini only: 64
Qwen3.7 Max only: 22
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.

Coding
Vibe Coding Index, six public coding benchmarks
Qwen3.7 Max
Qwen3.7 Max scores 54.1 against 34.2.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 20.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Max has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
Qwen3.7 Max
Qwen3.7 Max leads, 90.2% against 80.3%.
Same board, both measured
Math
AIME
No call
Only GPT-5 Mini has a AIME result, 91.5%.
Directional only
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 82.2%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1125.
Same board, both measured
Long documents
Listed context window
Qwen3.7 Max
Qwen3.7 Max takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Mini
GPT-5 Mini $0.0013, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5 Mini
GPT-5 Mini $0.08, Qwen3.7 Max $4.69.
Published attempt cost and pass rate

At a glance

Coding index: GPT-5 Mini 34.2 from 2 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
Widest category: Agentic work, 23.7 points apart on average over 1 shared benchmark.
Widest single gap: SimpleQA Verified: GPT-5 Mini 21.6% against Qwen3.7 Max 55.8%, 34.2 points apart on a 0 to 100 scale.
Output price: GPT-5 Mini $2.00 against Qwen3.7 Max $4.425 per million output tokens, 2.2x apart.
Context window: GPT-5 Mini 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
Category	GPT-5 Mini	Qwen3.7 Max
Coding	0	5
Intelligence	0	2
Agentic work	0	1
Reasoning	0	6
Math	0	4
Knowledge	1	5
Web design	0	8
General	1	4
All shared boards	2	35

CodingLike-for-likeSix of these boards feed the Vibe Coding Index05

Coding benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
SWE-bench Verified	59.8%	Not measured	Only GPT-5 Mini measured
SWE-bench Multilingual	39.7%	Not measured	Only GPT-5 Mini measured
LMArena WebDev	Not measured	1515	Only Qwen3.7 Max measured
AA Coding Index	Not measured	66.0	Only Qwen3.7 Max measured
LiveCodeBench (Vals AI)	86.6%	87.1%	Qwen3.7 Max
SWE-bench Verified (Vals AI)	60.8%	68.8%	Qwen3.7 Max
Vibe Code Bench (Vals AI)	14.2%	47.7%	Qwen3.7 Max
Code migration (Vals AI)	Not measured	13.1%	Only Qwen3.7 Max measured
Terminal-Bench 2.1 (Vals AI)	Not measured	61.0%	Only Qwen3.7 Max measured
LiveCodeBench (Artificial Analysis run)	83.8%	Not measured	Only GPT-5 Mini measured
SciCode	39.0%	49.5%	Qwen3.7 Max
Terminal-Bench Hard (Artificial Analysis run)	33.3%	50.8%	Qwen3.7 Max
Terminal-Bench	34.8%	Not measured	Only GPT-5 Mini measured
WeirdML	52.7%	Not measured	Only GPT-5 Mini measured
ALE-Bench	Not measured	1189.4	Only Qwen3.7 Max measured
LMArena Text: coding	1406	Not measured	Only GPT-5 Mini measured
LMArena Text: software and IT	1394	Not measured	Only GPT-5 Mini measured
LMArena WebDev: React	Not measured	1514	Only Qwen3.7 Max measured
LMArena WebDev: HTML	Not measured	1512	Only Qwen3.7 Max measured
Neither model has a result on the other 20 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02

Intelligence benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
AA Intelligence Index	20.6	29.5	Qwen3.7 Max
Epoch Capabilities Index	145.3	154.0	Qwen3.7 Max

Agentic workLike-for-likePublic boards, shown as published, kept out of the index01

Agentic work benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
AA Agentic Index	Not measured	22.5	Only Qwen3.7 Max measured
Design Arena: agents building web apps	Not measured	1208	Only Qwen3.7 Max measured
Design Arena: agents building full-stack apps	Not measured	1191	Only Qwen3.7 Max measured
Design Arena: agents building mobile apps	Not measured	1155	Only Qwen3.7 Max measured
Design Arena: agents building Android apps	Not measured	1159	Only Qwen3.7 Max measured
Design Arena: agents building Godot games	Not measured	1187	Only Qwen3.7 Max measured
Design Arena: agents building games	Not measured	1161	Only Qwen3.7 Max measured
Design Arena: HTML slides	Not measured	1108	Only Qwen3.7 Max measured
Design Arena: PowerPoint slides	Not measured	1171	Only Qwen3.7 Max measured
Finance Agent (Vals AI)	Not measured	47.8%	Only Qwen3.7 Max measured
Tax Agent Bench (Vals AI)	Not measured	15.8%	Only Qwen3.7 Max measured
Legal Research Bench (Vals AI)	Not measured	25.5%	Only Qwen3.7 Max measured
Excel Modeling Benchmark (Vals AI)	Not measured	57.0%	Only Qwen3.7 Max measured
τ²-Bench Telecom	71.1%	94.7%	Qwen3.7 Max
Vending-Bench 2	-$31	Not measured	Only GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)	55.5%	Not measured	Only GPT-5 Mini measured
Neither model has a result on the other 25 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index06

Reasoning benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
GPQA Diamond	80.3%	90.2%	Qwen3.7 Max
MMMU Pro (Vals AI)	78.9%	Not measured	Only GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)	82.8%	92.3%	Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)	21.5%	40.5%	Qwen3.7 Max
GPQA Diamond (Epoch AI run)	75.0%	90.9%	Qwen3.7 Max
ARC-AGI	54.3%	Not measured	Only GPT-5 Mini measured
ARC-AGI-2	4.4%	Not measured	Only GPT-5 Mini measured
SimpleBench	Not measured	70.4%	Only Qwen3.7 Max measured
Chess puzzles	24.0%	26.0%	Qwen3.7 Max
Mystery game puzzles	10.0%	32.0%	Qwen3.7 Max
EBR-bench	Not measured	9.5%	Only Qwen3.7 Max measured
VPCT	40.2%	Not measured	Only GPT-5 Mini measured
LMArena Text: hard prompts	1380	Not measured	Only GPT-5 Mini measured
LMArena Text: expert	1379	Not measured	Only GPT-5 Mini measured
LMArena Text: hard prompts in English	1383	Not measured	Only GPT-5 Mini measured
LMArena Vision: diagrams	1202	Not measured	Only GPT-5 Mini measured
LMArena Vision: homework	1210	Not measured	Only GPT-5 Mini measured
Kagi LLM Benchmark	70.3%	Not measured	Only GPT-5 Mini 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 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
AIME	91.5%	Not measured	Only GPT-5 Mini measured
MATH 500 (Vals AI)	94.8%	Not measured	Only GPT-5 Mini measured
MGSM (Vals AI)	92.6%	Not measured	Only GPT-5 Mini measured
AA Math Index	90.7	Not measured	Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)	90.7%	Not measured	Only GPT-5 Mini measured
OTIS Mock AIME	86.7%	95.6%	Qwen3.7 Max
FrontierMath, tiers 1 to 3	46.7%	64.6%	Qwen3.7 Max
FrontierMath, tier 4	12.2%	34.1%	Qwen3.7 Max
ProofBench	9.0%	26.0%	Qwen3.7 Max
MATH level 5	97.8%	Not measured	Only GPT-5 Mini measured
LMArena Text: math	1378	Not measured	Only GPT-5 Mini measured
LMArena Text: mathematical work	1380	Not measured	Only GPT-5 Mini measured
Neither model has a result on the other 1 board here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index15

Knowledge benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
MMLU Pro	82.2%	89.3%	Qwen3.7 Max
LegalBench (Vals AI)	81.8%	84.9%	Qwen3.7 Max
CaseLaw (Vals AI)	68.5%	Not measured	Only GPT-5 Mini measured
CorpFin (Vals AI)	60.2%	63.7%	Qwen3.7 Max
TaxEval (Vals AI)	75.2%	75.3%	Qwen3.7 Max
MortgageTax (Vals AI)	66.9%	Not measured	Only GPT-5 Mini measured
MedQA (Vals AI)	96.1%	Not measured	Only GPT-5 Mini measured
MedCode (Vals AI)	43.0%	38.8%	GPT-5 Mini
MMLU Pro (Artificial Analysis run)	83.7%	Not measured	Only GPT-5 Mini measured
SimpleQA Verified	21.6%	55.8%	Qwen3.7 Max
LMArena Text: science	1371	Not measured	Only GPT-5 Mini measured
LMArena Text: medicine and healthcare	1380	Not measured	Only GPT-5 Mini measured
LMArena Text: legal and government	1375	Not measured	Only GPT-5 Mini measured
LMArena Text: business and finance	1358	Not measured	Only GPT-5 Mini measured
FACTS Benchmark Suite	38.6%	Not measured	Only GPT-5 Mini measured
Neither model has a result on the other 3 boards here

Web designLike-for-likePublic boards, shown as published, kept out of the index08

Web design benchmarks for GPT-5 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
Design Arena: websites	1125	1274	Qwen3.7 Max
Design Arena: UI components	1103	1267	Qwen3.7 Max
Design Arena: game dev	1129	1264	Qwen3.7 Max
Design Arena: data viz	1131	1275	Qwen3.7 Max
Design Arena: 3D	1036	1265	Qwen3.7 Max
Design Arena: all code categories	1114	1275	Qwen3.7 Max
Design Arena: SVG	1091	1216	Qwen3.7 Max
Design Arena: ASCII art	1125	1211	Qwen3.7 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 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
SAGE (Vals AI)	43.0%	Not measured	Only GPT-5 Mini measured
MedScribe (Vals AI)	80.6%	79.4%	GPT-5 Mini
IFBench	75.4%	80.5%	Qwen3.7 Max
Long context reasoning (AA-LCR)	72.3%	79.0%	Qwen3.7 Max
DTBench	80.5%	92.3%	Qwen3.7 Max
LMCA	34.2%	44.0%	Qwen3.7 Max
Fiction.LiveBench	69.4%	Not measured	Only GPT-5 Mini measured
Creative writing (Lech Mazur)	83.1%	Not measured	Only GPT-5 Mini measured
LMArena Text	1373	Not measured	Only GPT-5 Mini measured
LMArena Text: instruction following	1357	Not measured	Only GPT-5 Mini measured
LMArena Text: creative writing	1325	Not measured	Only GPT-5 Mini measured
LMArena Vision	1202	Not measured	Only GPT-5 Mini measured
LMArena Text: English	1379	Not measured	Only GPT-5 Mini measured
LMArena Text: non-English	1363	Not measured	Only GPT-5 Mini measured
LMArena Text: Chinese	1386	Not measured	Only GPT-5 Mini measured
LMArena Text: German	1366	Not measured	Only GPT-5 Mini measured
LMArena Text: Japanese	1341	Not measured	Only GPT-5 Mini measured
LMArena Text: Korean	1308	Not measured	Only GPT-5 Mini measured
LMArena Text: French	1386	Not measured	Only GPT-5 Mini measured
LMArena Text: Spanish	1354	Not measured	Only GPT-5 Mini measured
LMArena Text: Russian	1362	Not measured	Only GPT-5 Mini measured
LMArena Text: Polish	1378	Not measured	Only GPT-5 Mini measured
LMArena Text: multi-turn	1363	Not measured	Only GPT-5 Mini measured
LMArena Text: longer queries	1355	Not measured	Only GPT-5 Mini measured
LMArena Text: writing and language	1344	Not measured	Only GPT-5 Mini measured
LMArena Text: entertainment and media	1340	Not measured	Only GPT-5 Mini measured
LMArena Vision: English	1216	Not measured	Only GPT-5 Mini measured
LMArena Vision: Chinese	1214	Not measured	Only GPT-5 Mini measured
LMArena Vision: reading text	1199	Not measured	Only GPT-5 Mini measured
LMArena Vision: humor	1205	Not measured	Only GPT-5 Mini measured
LMArena Vision: captioning	1217	Not measured	Only GPT-5 Mini measured
LMArena Vision: recognizing things	1226	Not measured	Only GPT-5 Mini measured
LMArena Vision: creative writing	1181	Not measured	Only GPT-5 Mini 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 Mini and Qwen3.7 Max
Benchmark	GPT-5 Mini	Qwen3.7 Max	Leader
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 Mini$0.0013Fits in one request

Qwen3.7 Max$0.0037Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request

Qwen3.7 Max$0.087Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request

Qwen3.7 Max$0.339Fits in one request

GPT-5 Mini 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 Mini and Qwen3.7 Max
Specification	OpenAI GPT-5 Mini	Qwen3.7 Max
Maker	OpenAI	Qwen
Weights	No public weights listed	No public weights listed
Released	August 7, 2025	May 21, 2026
Context window	400K	1M
Input $/Mtok	$0.25	$1.475
Output $/Mtok	$2.00	$4.425
Coding index	34.2	54.1
Independent measurements behind it	2	3
Cost per solved task	$0.08	$4.69
Source	OpenRouter listing	OpenRouter listing

Questions

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

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 34.2 for GPT-5 Mini. Pick GPT-5 Mini for output tokens 2.2x cheaper ($2.00 vs $4.425 per million) and a lower cost per solved task ($0.08 against $4.69).

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

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, GPT-5 Mini costs $0.08 and Qwen3.7 Max $4.69.

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

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

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

37 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 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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GPT-5 Mini or Qwen3.7 Max: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next