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o3 vs Qwen3.7 Plus

Updated October 21, 2026. 57 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace o3 Replace Qwen3.7 Plus
o3OpenAI
Coding
No data
Overall
20.2
Output $/M
$8.00
5
Qwen3.7 PlusQwen
Coding
33.2
Overall
25.2
Output $/M
$1.28
52
vs boards won of 57 shared

Decision reading

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.

o3 has the edge where what matters is Mystery game puzzles or SAGE (Vals AI), where it leads.

Model Ao3OpenAINot benchmarkedNo coding benchmark$0.571 per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
57
o3 only
40
Qwen3.7 Plus only
18
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
o3 not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Web design, 25.7 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: all code categories: o3 1020 against Qwen3.7 Plus 1269, 31.1 points apart on a 0 to 100 scale.
Output price
o3 $8.00 against Qwen3.7 Plus $1.28 per million output tokens, 6.3x apart.
Context window
o3 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
Categoryo3BarsQwen3.7 PlusTies
Coding03
Intelligence02
Agentic work01
Reasoning18
Math04
Knowledge05
Web design05
General424
All shared boards552
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
Aider polyglot81.3%Not measuredOnly o3 measured
SWE-bench Verified58.4%Not measuredOnly o3 measured
SWE-bench Multimodal36.0%Not measuredOnly o3 measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
LiveCodeBench (Vals AI)83.9%Not measuredOnly o3 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)80.8%Not measuredOnly o3 measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)37.1%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
GSO-Bench8.8%Not measuredOnly o3 measured
WeirdML52.4%Not measuredOnly o3 measured
ALE-Bench933.5Not measuredOnly o3 measured
LMArena Text: coding14071473Qwen3.7 Plus
LMArena Text: software and IT14151473Qwen3.7 Plus
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 o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
AA Intelligence Index20.225.2Qwen3.7 Plus
Epoch Capabilities Index146.7147.0Qwen3.7 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 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 Telecom80.7%93.0%Qwen3.7 Plus
METR time horizons65.4%Not measuredOnly o3 measured
GDPval30.8%Not measuredOnly o3 measured
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
DeepResearch Bench45.2%Not measuredOnly o3 measured
OSWorld23.0%Not measuredOnly o3 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
GPQA Diamond84.1%Not measuredOnly o3 measured
MMMU Pro (Vals AI)80.4%Not measuredOnly o3 measured
GPQA Diamond (Artificial Analysis run)82.7%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)20.1%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)81.8%87.9%Qwen3.7 Plus
ARC-AGI60.8%Not measuredOnly o3 measured
ARC-AGI-26.5%Not measuredOnly o3 measured
SimpleBench53.1%Not measuredOnly o3 measured
Chess puzzles37.0%Not measuredOnly o3 measured
Mystery game puzzles29.0%17.0%o3
VPCT52.0%Not measuredOnly o3 measured
LMArena Text: hard prompts14021460Qwen3.7 Plus
LMArena Text: expert14021466Qwen3.7 Plus
LMArena Text: hard prompts in English14111460Qwen3.7 Plus
LMArena Vision: diagrams12201292Qwen3.7 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 index04
Math benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
AIME85.3%Not measuredOnly o3 measured
MATH 500 (Vals AI)94.6%Not measuredOnly o3 measured
MGSM (Vals AI)91.8%Not measuredOnly o3 measured
AA Math Index88.3Not measuredOnly o3 measured
AIME 2025 (Artificial Analysis run)88.3%Not measuredOnly o3 measured
OTIS Mock AIME84.4%93.3%Qwen3.7 Plus
FrontierMath, tiers 1 to 333.3%34.4%Qwen3.7 Plus
MATH level 597.8%Not measuredOnly o3 measured
LMArena Text: math14261467Qwen3.7 Plus
LMArena Text: mathematical work14231470Qwen3.7 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 o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
MMLU Pro85.6%Not measuredOnly o3 measured
LegalBench (Vals AI)83.8%Not measuredOnly o3 measured
CorpFin (Vals AI)59.7%Not measuredOnly o3 measured
TaxEval (Vals AI)74.6%Not measuredOnly o3 measured
MortgageTax (Vals AI)65.7%66.2%Qwen3.7 Plus
MedQA (Vals AI)96.1%Not measuredOnly o3 measured
MedCode (Vals AI)47.3%Not measuredOnly o3 measured
MMLU Pro (Artificial Analysis run)85.3%Not measuredOnly o3 measured
SimpleQA Verified49.4%Not measuredOnly o3 measured
GeoBench74.0%Not measuredOnly o3 measured
LMArena Text: science14291464Qwen3.7 Plus
LMArena Text: medicine and healthcare14481464Qwen3.7 Plus
LMArena Text: legal and government14281451Qwen3.7 Plus
LMArena Text: business and finance13931435Qwen3.7 Plus
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
Design Arena: websites10361269Qwen3.7 Plus
Design Arena: UI components10171261Qwen3.7 Plus
Design Arena: game dev10341262Qwen3.7 Plus
Design Arena: data viz12001275Qwen3.7 Plus
Design Arena: 3DNot measured1239Only Qwen3.7 Plus measured
Design Arena: all code categories10201269Qwen3.7 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 index424
General benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 PlusLeader
SAGE (Vals AI)41.8%39.3%o3
MedScribe (Vals AI)76.7%Not measuredOnly o3 measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench71.4%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)74.7%73.0%o3
DTBench84.8%84.0%o3
LMCA39.7%37.6%o3
Fiction.LiveBench88.9%Not measuredOnly o3 measured
Creative writing (Lech Mazur)83.9%Not measuredOnly o3 measured
CL-bench17.8%Not measuredOnly o3 measured
LMArena Text14101454Qwen3.7 Plus
LMArena Text: instruction following13681439Qwen3.7 Plus
LMArena Text: creative writing13591438Qwen3.7 Plus
LMArena Vision12141278Qwen3.7 Plus
LMArena Text: English14171458Qwen3.7 Plus
LMArena Text: non-English14011445Qwen3.7 Plus
LMArena Text: Chinese14371509Qwen3.7 Plus
LMArena Text: German14201471Qwen3.7 Plus
LMArena Text: Japanese14031412Qwen3.7 Plus
LMArena Text: Korean13701413Qwen3.7 Plus
LMArena Text: French14301472Qwen3.7 Plus
LMArena Text: Spanish13951457Qwen3.7 Plus
LMArena Text: Russian14061457Qwen3.7 Plus
LMArena Text: Polish14381449Qwen3.7 Plus
LMArena Text: multi-turn14051459Qwen3.7 Plus
LMArena Text: longer queries13721454Qwen3.7 Plus
LMArena Text: writing and language13721437Qwen3.7 Plus
LMArena Text: entertainment and media13731422Qwen3.7 Plus
LMArena Vision: English12211280Qwen3.7 Plus
LMArena Vision: Chinese12371332Qwen3.7 Plus
LMArena Vision: reading text12181288Qwen3.7 Plus
LMArena Vision: humor12221261Qwen3.7 Plus
LMArena Vision: captioning1210Not measuredOnly o3 measured
LMArena Vision: recognizing things1234Not measuredOnly o3 measured
LMArena Vision: creative writing12011258Qwen3.7 Plus
LMArena DocumentNot measured1444Only Qwen3.7 Plus measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for o3 and Qwen3.7 Plus
Benchmarko3Qwen3.7 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

o3$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

o3$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

o3$0.480Exceeds 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 o3 and Qwen3.7 Plus
SpecificationOpenAI o3Qwen3.7 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2025June 3, 2026
Context window200K1M
Input $/Mtok$2.00$0.32
Output $/Mtok$8.00$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it02
Cost per solved task$0.571Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o3 better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. o3 has the edge where what matters is Mystery game puzzles or SAGE (Vals AI), where it leads.

Which is cheaper, o3 or Qwen3.7 Plus?

o3 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 o3 only.

Which has the bigger context window, o3 or Qwen3.7 Plus?

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

How many benchmarks is the o3 vs Qwen3.7 Plus comparison based on?

57 benchmarks have a result for both models as of October 21, 2026. o3'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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