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GPT-4.1 vs Qwen3.7 Plus

Qwen3.7 Plus leads GPT-4.1 on the Artificial Analysis Intelligence Index, 25.2 to 12.7, and Qwen3.7 Plus costs 6.3x less per output token ($1.28 vs $8.00 per million). Updated October 21, 2026; 56 benchmarks have a result for both.

Replace GPT-4.1 Replace Qwen3.7 Plus
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
0
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
56
vs boards won of 56 shared

GPT-4.1 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 has none, so the two cannot be ranked on coding.

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

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
56
GPT-4.1 only
36
Qwen3.7 Plus only
19
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 not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 45.9 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: GPT-4.1 38.3% against Qwen3.7 Plus 93.3%, 55.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Qwen3.7 Plus $1.28 per million output tokens, 6.3x apart.
Context window
GPT-4.1 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-4.1BarsQwen3.7 PlusTies
Coding03
Intelligence02
Agentic work01
Reasoning08
Math04
Knowledge05
Web design06
General027
All shared boards056
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 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)45.7%Not measuredOnly GPT-4.1 measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)13.6%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901473Qwen3.7 Plus
LMArena Text: software and IT13911473Qwen3.7 Plus
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
AA Intelligence Index12.725.2Qwen3.7 Plus
Epoch Capabilities Index136.7147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 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 Telecom47.1%93.0%Qwen3.7 Plus
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)4.2%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)66.9%87.9%Qwen3.7 Plus
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts13841460Qwen3.7 Plus
LMArena Text: expert13641466Qwen3.7 Plus
LMArena Text: hard prompts in English13931460Qwen3.7 Plus
LMArena Vision: diagrams12151292Qwen3.7 Plus
LMArena Vision: homework12481295Qwen3.7 Plus
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 36.0%34.4%Qwen3.7 Plus
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691467Qwen3.7 Plus
LMArena Text: mathematical work13601470Qwen3.7 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 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%66.2%Qwen3.7 Plus
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821464Qwen3.7 Plus
LMArena Text: medicine and healthcare13791464Qwen3.7 Plus
LMArena Text: legal and government13991451Qwen3.7 Plus
LMArena Text: business and finance13691435Qwen3.7 Plus
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
Design Arena: websites10391269Qwen3.7 Plus
Design Arena: UI components10001261Qwen3.7 Plus
Design Arena: game dev10801262Qwen3.7 Plus
Design Arena: data viz11041276Qwen3.7 Plus
Design Arena: 3D8501239Qwen3.7 Plus
Design Arena: all code categories10261269Qwen3.7 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 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench43.0%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)68.3%73.0%Qwen3.7 Plus
DTBench68.3%84.0%Qwen3.7 Plus
LMCA25.6%37.6%Qwen3.7 Plus
Fiction.LiveBench63.9%Not measuredOnly GPT-4.1 measured
LMArena Text13831454Qwen3.7 Plus
LMArena Text: instruction following13671439Qwen3.7 Plus
LMArena Text: creative writing13631438Qwen3.7 Plus
LMArena Vision12101278Qwen3.7 Plus
LMArena Text: English13921458Qwen3.7 Plus
LMArena Text: non-English13701445Qwen3.7 Plus
LMArena Text: Chinese13821509Qwen3.7 Plus
LMArena Text: German13811471Qwen3.7 Plus
LMArena Text: Japanese13191412Qwen3.7 Plus
LMArena Text: Korean13381413Qwen3.7 Plus
LMArena Text: French13821472Qwen3.7 Plus
LMArena Text: Spanish13761457Qwen3.7 Plus
LMArena Text: Russian13771457Qwen3.7 Plus
LMArena Text: Polish13891449Qwen3.7 Plus
LMArena Text: multi-turn13971459Qwen3.7 Plus
LMArena Text: longer queries13851454Qwen3.7 Plus
LMArena Text: writing and language13711437Qwen3.7 Plus
LMArena Text: entertainment and media13651422Qwen3.7 Plus
LMArena Vision: English12091280Qwen3.7 Plus
LMArena Vision: Chinese12261332Qwen3.7 Plus
LMArena Vision: reading text12181288Qwen3.7 Plus
LMArena Vision: humor11961261Qwen3.7 Plus
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing12101258Qwen3.7 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 and Qwen3.7 Plus
BenchmarkGPT-4.1Qwen3.7 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$0.0060Fits 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$0.124Fits 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$0.480Fits 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 and Qwen3.7 Plus
SpecificationOpenAI GPT-4.1Qwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025June 3, 2026
Context window1.05M1M
Input $/Mtok$2.00$0.32
Output $/Mtok$8.00$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 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 has none, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 1M tokens).

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for GPT-4.1 only.

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

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

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

56 benchmarks have a result for both models as of October 21, 2026. GPT-4.1'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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