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o4 Mini vs Qwen3.7 Plus

Updated October 21, 2026. 58 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace o4 Mini Replace Qwen3.7 Plus
o4 MiniOpenAI
Coding
No data
Overall
16.7
Output $/M
$4.40
2
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
56
vs boards won of 58 shared

Decision reading

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.

o4 Mini has the edge where what matters is FrontierMath, tiers 1 to 3 or SAGE (Vals AI), where it leads.

Model Ao4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
58
o4 Mini only
36
Qwen3.7 Plus only
17
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
o4 Mini not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Agentic work, 37.4 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: 3D: o4 Mini 854 against Qwen3.7 Plus 1239, 48.1 points apart on a 0 to 100 scale.
Output price
o4 Mini $4.40 against Qwen3.7 Plus $1.28 per million output tokens, 3.4x apart.
Context window
o4 Mini takes 200K 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
Categoryo4 MiniBarsQwen3.7 PlusTies
Coding03
Intelligence02
Agentic work01
Reasoning09
Math13
Knowledge05
Web design06
General127
All shared boards256
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
Aider polyglot72.0%Not measuredOnly o4 Mini measured
SWE-bench Verified64.6%Not measuredOnly o4 Mini measured
SWE-bench Multimodal33.9%Not measuredOnly o4 Mini measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)82.2%Not measuredOnly o4 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)85.9%Not measuredOnly o4 Mini measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)15.2%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
GSO-Bench3.6%Not measuredOnly o4 Mini measured
WeirdML52.6%Not measuredOnly o4 Mini measured
LMArena Text: coding13681473Qwen3.7 Plus
LMArena Text: software and IT13671473Qwen3.7 Plus
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 o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
AA Intelligence Index16.725.2Qwen3.7 Plus
Epoch Capabilities Index145.5147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 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 Telecom55.6%93.0%Qwen3.7 Plus
METR time horizons63.9%Not measuredOnly o4 Mini measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
GPQA Diamond74.5%Not measuredOnly o4 Mini measured
MMMU Pro (Vals AI)79.7%Not measuredOnly o4 Mini measured
GPQA Diamond (Artificial Analysis run)78.4%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)16.5%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)79.6%87.9%Qwen3.7 Plus
ARC-AGI58.7%Not measuredOnly o4 Mini measured
ARC-AGI-26.1%Not measuredOnly o4 Mini measured
SimpleBench38.7%Not measuredOnly o4 Mini measured
Chess puzzles22.0%Not measuredOnly o4 Mini measured
Mystery game puzzles5.0%17.0%Qwen3.7 Plus
VPCT57.5%Not measuredOnly o4 Mini measured
LMArena Text: hard prompts13511460Qwen3.7 Plus
LMArena Text: expert13431466Qwen3.7 Plus
LMArena Text: hard prompts in English13661460Qwen3.7 Plus
LMArena Vision: diagrams11971292Qwen3.7 Plus
LMArena Vision: homework12341295Qwen3.7 Plus
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
AIME83.7%Not measuredOnly o4 Mini measured
MATH 500 (Vals AI)94.2%Not measuredOnly o4 Mini measured
MGSM (Vals AI)93.4%Not measuredOnly o4 Mini measured
AA Math Index90.7Not measuredOnly o4 Mini measured
AIME 2025 (Artificial Analysis run)90.7%Not measuredOnly o4 Mini measured
OTIS Mock AIME81.7%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 336.1%34.4%o4 Mini
FrontierMath, tier 44.9%Not measuredOnly o4 Mini measured
MATH level 597.8%Not measuredOnly o4 Mini measured
LMArena Text: math13891467Qwen3.7 Plus
LMArena Text: mathematical work13791470Qwen3.7 Plus
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
MMLU Pro80.6%Not measuredOnly o4 Mini measured
LegalBench (Vals AI)79.2%Not measuredOnly o4 Mini measured
CorpFin (Vals AI)59.0%Not measuredOnly o4 Mini measured
TaxEval (Vals AI)74.8%Not measuredOnly o4 Mini measured
MortgageTax (Vals AI)64.8%66.2%Qwen3.7 Plus
MedQA (Vals AI)96.0%Not measuredOnly o4 Mini measured
MedCode (Vals AI)33.8%Not measuredOnly o4 Mini measured
MMLU Pro (Artificial Analysis run)83.2%Not measuredOnly o4 Mini measured
SimpleQA Verified19.6%Not measuredOnly o4 Mini measured
GeoBench64.0%Not measuredOnly o4 Mini measured
LMArena Text: science13541464Qwen3.7 Plus
LMArena Text: medicine and healthcare13611464Qwen3.7 Plus
LMArena Text: legal and government13501451Qwen3.7 Plus
LMArena Text: business and finance13251435Qwen3.7 Plus
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 o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
Design Arena: websites9851269Qwen3.7 Plus
Design Arena: UI components9831261Qwen3.7 Plus
Design Arena: game dev10031262Qwen3.7 Plus
Design Arena: data viz9901275Qwen3.7 Plus
Design Arena: 3D8541239Qwen3.7 Plus
Design Arena: all code categories9761269Qwen3.7 Plus
Design Arena: SVGNot measured1208Only Qwen3.7 Plus measured
Design Arena: ASCII artNot measured1144Only 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 index127
General benchmarks for o4 Mini and Qwen3.7 Plus
Benchmarko4 MiniQwen3.7 PlusLeader
SAGE (Vals AI)41.1%39.3%o4 Mini
MedScribe (Vals AI)69.1%Not measuredOnly o4 Mini measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench68.7%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)61.0%73.0%Qwen3.7 Plus
DTBench77.6%84.0%Qwen3.7 Plus
LMCA26.5%37.6%Qwen3.7 Plus
Fiction.LiveBench77.8%Not measuredOnly o4 Mini measured
Creative writing (Lech Mazur)75.0%Not measuredOnly o4 Mini measured
LMArena Text13531454Qwen3.7 Plus
LMArena Text: instruction following13201439Qwen3.7 Plus
LMArena Text: creative writing12941438Qwen3.7 Plus
LMArena Vision11941278Qwen3.7 Plus
LMArena Text: English13671458Qwen3.7 Plus
LMArena Text: non-English13371445Qwen3.7 Plus
LMArena Text: Chinese13541509Qwen3.7 Plus
LMArena Text: German13361471Qwen3.7 Plus
LMArena Text: Japanese13081412Qwen3.7 Plus
LMArena Text: Korean13121413Qwen3.7 Plus
LMArena Text: French13641472Qwen3.7 Plus
LMArena Text: Spanish13461457Qwen3.7 Plus
LMArena Text: Russian13341457Qwen3.7 Plus
LMArena Text: Polish13581449Qwen3.7 Plus
LMArena Text: multi-turn13501459Qwen3.7 Plus
LMArena Text: longer queries13151454Qwen3.7 Plus
LMArena Text: writing and language13161437Qwen3.7 Plus
LMArena Text: entertainment and media13081422Qwen3.7 Plus
LMArena Vision: English12001280Qwen3.7 Plus
LMArena Vision: Chinese12181332Qwen3.7 Plus
LMArena Vision: reading text11971288Qwen3.7 Plus
LMArena Vision: humor11991261Qwen3.7 Plus
LMArena Vision: captioning1204Not measuredOnly o4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly o4 Mini measured
LMArena Vision: creative writing11661258Qwen3.7 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 o4 Mini and Qwen3.7 Plus
Benchmarko4 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

o4 Mini$0.0033Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

o4 Mini$0.068Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

o4 Mini$0.264Exceeds the context window
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 o4 Mini and Qwen3.7 Plus
SpecificationOpenAI o4 MiniQwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2025June 3, 2026
Context window200K1M
Input $/Mtok$1.10$0.32
Output $/Mtok$4.40$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o4 Mini better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. o4 Mini has the edge where what matters is FrontierMath, tiers 1 to 3 or SAGE (Vals AI), where it leads.

Which is cheaper, o4 Mini or Qwen3.7 Plus?

o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, o4 Mini or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 200K.

How many benchmarks is the o4 Mini vs Qwen3.7 Plus comparison based on?

58 benchmarks have a result for both models as of October 21, 2026. o4 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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