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GPT-4.1 Mini vs Qwen3.7 Plus

Qwen3.7 Plus leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 25.2 to 10.2, and Qwen3.7 Plus costs 1.3x less per output token ($1.28 vs $1.60 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Qwen3.7 Plus
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
58
vs boards won of 58 shared

GPT-4.1 Mini or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Mini for a larger context window (1.05M against 1M tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
58
GPT-4.1 Mini only
28
Qwen3.7 Plus 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-4.1 Mini not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 40.1 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: 3D: GPT-4.1 Mini 836 against Qwen3.7 Plus 1238, 50.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Qwen3.7 Plus $1.28 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Mini takes 1.05M 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-4.1 MiniBarsQwen3.7 PlusTies
Coding04
Intelligence02
Agentic work01
Reasoning09
Math04
Knowledge05
Web design06
General027
All shared boards058
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.255.9Qwen3.7 Plus
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
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)48.3%Not measuredOnly GPT-4.1 Mini measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)7.6%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671473Qwen3.7 Plus
LMArena Text: software and IT13601473Qwen3.7 Plus
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
AA Intelligence Index10.225.2Qwen3.7 Plus
Epoch Capabilities Index134.9147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 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 Telecom52.9%93.0%Qwen3.7 Plus
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
GPQA Diamond67.9%Not measuredOnly GPT-4.1 Mini measured
MMMU Pro (Vals AI)70.5%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)66.4%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)5.0%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)65.8%87.9%Qwen3.7 Plus
ARC-AGI3.5%Not measuredOnly GPT-4.1 Mini measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Mini measured
Chess puzzles1.0%Not measuredOnly GPT-4.1 Mini measured
Mystery game puzzles7.0%17.0%Qwen3.7 Plus
LMArena Text: hard prompts13491460Qwen3.7 Plus
LMArena Text: expert13381466Qwen3.7 Plus
LMArena Text: hard prompts in English13621460Qwen3.7 Plus
LMArena Vision: diagrams11821292Qwen3.7 Plus
LMArena Vision: homework12141295Qwen3.7 Plus
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
AIME49.4%Not measuredOnly GPT-4.1 Mini measured
MATH 500 (Vals AI)88.0%Not measuredOnly GPT-4.1 Mini measured
MGSM (Vals AI)87.8%Not measuredOnly GPT-4.1 Mini measured
AA Math Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 36.7%34.4%Qwen3.7 Plus
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431467Qwen3.7 Plus
LMArena Text: mathematical work13471470Qwen3.7 Plus
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
MMLU Pro77.2%Not measuredOnly GPT-4.1 Mini measured
LegalBench (Vals AI)78.0%Not measuredOnly GPT-4.1 Mini measured
CorpFin (Vals AI)57.9%Not measuredOnly GPT-4.1 Mini measured
TaxEval (Vals AI)71.9%Not measuredOnly GPT-4.1 Mini measured
MortgageTax (Vals AI)65.5%66.2%Qwen3.7 Plus
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281464Qwen3.7 Plus
LMArena Text: medicine and healthcare13241464Qwen3.7 Plus
LMArena Text: legal and government13431451Qwen3.7 Plus
LMArena Text: business and finance13221435Qwen3.7 Plus
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
Design Arena: websites9971269Qwen3.7 Plus
Design Arena: UI components9581258Qwen3.7 Plus
Design Arena: game dev10701261Qwen3.7 Plus
Design Arena: data viz10341276Qwen3.7 Plus
Design Arena: 3D8361238Qwen3.7 Plus
Design Arena: all code categories9931269Qwen3.7 Plus
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1143Only Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index027
General benchmarks for GPT-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench38.3%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)44.0%73.0%Qwen3.7 Plus
DTBench68.8%84.0%Qwen3.7 Plus
LMCA21.1%37.6%Qwen3.7 Plus
Fiction.LiveBench44.4%Not measuredOnly GPT-4.1 Mini measured
LMArena Text13411454Qwen3.7 Plus
LMArena Text: instruction following13331439Qwen3.7 Plus
LMArena Text: creative writing12991438Qwen3.7 Plus
LMArena Vision11811278Qwen3.7 Plus
LMArena Text: English13561458Qwen3.7 Plus
LMArena Text: non-English13181445Qwen3.7 Plus
LMArena Text: Chinese13291509Qwen3.7 Plus
LMArena Text: German13501471Qwen3.7 Plus
LMArena Text: Japanese12901412Qwen3.7 Plus
LMArena Text: Korean12981413Qwen3.7 Plus
LMArena Text: French13581472Qwen3.7 Plus
LMArena Text: Spanish13191457Qwen3.7 Plus
LMArena Text: Russian13241457Qwen3.7 Plus
LMArena Text: Polish13261449Qwen3.7 Plus
LMArena Text: multi-turn13541459Qwen3.7 Plus
LMArena Text: longer queries13441454Qwen3.7 Plus
LMArena Text: writing and language13191437Qwen3.7 Plus
LMArena Text: entertainment and media13001422Qwen3.7 Plus
LMArena Vision: English11911280Qwen3.7 Plus
LMArena Vision: Chinese11861332Qwen3.7 Plus
LMArena Vision: reading text11881288Qwen3.7 Plus
LMArena Vision: humor11821261Qwen3.7 Plus
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing11821258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus 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-4.1 Mini and Qwen3.7 Plus
BenchmarkGPT-4.1 MiniQwen3.7 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-4.1 Mini$0.0012Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits 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-4.1 Mini and Qwen3.7 Plus
SpecificationOpenAI GPT-4.1 MiniQwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025June 3, 2026
Context window1.05M1M
Input $/Mtok$0.40$0.32
Output $/Mtok$1.60$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; GPT-4.1 Mini has none, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 1M tokens).

Which is cheaper, GPT-4.1 Mini or Qwen3.7 Plus?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Qwen3.7 Plus?

GPT-4.1 Mini, with 1.05M tokens against 1M.

How many benchmarks is the GPT-4.1 Mini vs Qwen3.7 Plus comparison based on?

58 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini's coding index rests on 0 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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