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o4 Mini vs Qwen3 32B

o4 Mini leads Qwen3 32B on the Artificial Analysis Intelligence Index, 16.7 to 7.3, and Qwen3 32B costs 11.0x less per output token ($0.40 vs $4.40 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace o4 Mini Replace Qwen3 32B
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
34
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
9
vs boards won of 43 shared

o4 Mini or Qwen3 32B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick o4 Mini for a larger context window (200K against 131K tokens) and work measured by LMArena Text: expert or LMArena Text: math, where it leads.

Model Ao4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 32BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
o4 Mini only
55
Qwen3 32B only
2
Like-for-like categories
7 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
o4 Mini not benchmarked, Qwen3 32B not benchmarked.
Widest category
Coding, 15.5 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): o4 Mini 61.0% against Qwen3 32B 0.0%, 61.0 points apart on a 0 to 100 scale.
Output price
o4 Mini $4.40 against Qwen3 32B $0.40 per million output tokens, 11.0x apart.
Context window
o4 Mini takes 200K tokens, Qwen3 32B 131K.

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 32BTies
Coding50
Intelligence20
Agentic work20
Reasoning61
Math32
Knowledge32
General134
All shared boards349
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
Aider polyglot72.0%40.0%o4 Mini
SWE-bench Verified64.6%Not measuredOnly o4 Mini measured
SWE-bench Multimodal33.9%Not measuredOnly o4 Mini measured
LiveCodeBench (Vals AI)82.2%Not measuredOnly o4 Mini measured
LiveCodeBench (Artificial Analysis run)85.9%54.6%o4 Mini
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)15.2%3.0%o4 Mini
GSO-Bench3.6%Not measuredOnly o4 Mini measured
WeirdML52.6%Not measuredOnly o4 Mini measured
LMArena Text: coding13681357o4 Mini
LMArena Text: software and IT13671366o4 Mini
SciCode10.8%Not measuredOnly o4 Mini measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
AA Intelligence Index16.77.3o4 Mini
Epoch Capabilities Index145.5138.4o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
τ²-Bench Telecom55.6%29.8%o4 Mini
METR time horizons63.9%Not measuredOnly o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)53.2%48.7%o4 Mini
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
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%66.8%o4 Mini
Humanity's Last Exam (Artificial Analysis run)16.5%7.4%o4 Mini
GPQA Diamond (Epoch AI run)79.6%65.7%o4 Mini
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%Not measuredOnly o4 Mini measured
VPCT57.5%Not measuredOnly o4 Mini measured
LMArena Text: hard prompts13511334o4 Mini
LMArena Text: expert13431362Qwen3 32B
LMArena Text: hard prompts in English13661350o4 Mini
LMArena Vision: diagrams1197Not measuredOnly o4 Mini measured
LMArena Vision: homework1234Not measuredOnly o4 Mini measured
Kagi LLM Benchmark67.6%48.7%o4 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index32
Math benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
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 Index90.773.0o4 Mini
AIME 2025 (Artificial Analysis run)90.7%73.0%o4 Mini
OTIS Mock AIME81.7%66.9%o4 Mini
FrontierMath, tiers 1 to 336.1%Not measuredOnly o4 Mini measured
FrontierMath, tier 44.9%Not measuredOnly o4 Mini measured
MATH level 597.8%Not measuredOnly o4 Mini measured
LMArena Text: math13891399Qwen3 32B
LMArena Text: mathematical work13791420Qwen3 32B
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
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%Not measuredOnly o4 Mini measured
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%79.8%o4 Mini
SimpleQA Verified19.6%Not measuredOnly o4 Mini measured
GeoBench64.0%Not measuredOnly o4 Mini measured
LMArena Text: science13541372Qwen3 32B
LMArena Text: medicine and healthcare13611368Qwen3 32B
LMArena Text: legal and government13501324o4 Mini
LMArena Text: business and finance13251318o4 Mini
FACTS Benchmark Suite28.1%Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
Design Arena: websites985Not measuredOnly o4 Mini measured
Design Arena: UI components983Not measuredOnly o4 Mini measured
Design Arena: game dev1003Not measuredOnly o4 Mini measured
Design Arena: data viz991Not measuredOnly o4 Mini measured
Design Arena: 3D854Not measuredOnly o4 Mini measured
Design Arena: all code categories976Not measuredOnly o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index134
General benchmarks for o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
SAGE (Vals AI)41.1%Not measuredOnly o4 Mini measured
MedScribe (Vals AI)69.1%Not measuredOnly o4 Mini measured
IFBench68.7%36.3%o4 Mini
Long context reasoning (AA-LCR)61.0%0.0%o4 Mini
DTBench77.6%67.5%o4 Mini
LMCA26.5%17.3%o4 Mini
Fiction.LiveBench77.8%74.2%o4 Mini
Creative writing (Lech Mazur)75.0%Not measuredOnly o4 Mini measured
LMArena Text13531340o4 Mini
LMArena Text: instruction following13201305o4 Mini
LMArena Text: creative writing12941297Qwen3 32B
LMArena Vision1194Not measuredOnly o4 Mini measured
LMArena Text: English13671359o4 Mini
LMArena Text: non-English13371317o4 Mini
LMArena Text: Chinese13541357Qwen3 32B
LMArena Text: German13361341Qwen3 32B
LMArena Text: Japanese1308Not measuredOnly o4 Mini measured
LMArena Text: Korean1312Not measuredOnly o4 Mini measured
LMArena Text: French1364Not measuredOnly o4 Mini measured
LMArena Text: Spanish1346Not measuredOnly o4 Mini measured
LMArena Text: Russian13341311o4 Mini
LMArena Text: Polish1358Not measuredOnly o4 Mini measured
LMArena Text: multi-turn13501331o4 Mini
LMArena Text: longer queries13151327Qwen3 32B
LMArena Text: writing and language13161298o4 Mini
LMArena Text: entertainment and media13081279o4 Mini
LMArena Vision: English1200Not measuredOnly o4 Mini measured
LMArena Vision: Chinese1218Not measuredOnly o4 Mini measured
LMArena Vision: reading text1197Not measuredOnly o4 Mini measured
LMArena Vision: humor1199Not measuredOnly o4 Mini measured
LMArena Vision: captioning1204Not measuredOnly o4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly o4 Mini measured
LMArena Vision: creative writing1166Not measuredOnly o4 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 o4 Mini and Qwen3 32B
Benchmarko4 MiniQwen3 32BLeader
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 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

o4 Mini$0.068Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

o4 Mini$0.264Exceeds the context window
Qwen3 32B$0.032Exceeds the context window

Qwen3 32B 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 32B
SpecificationOpenAI o4 MiniQwen3 32B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2025April 28, 2025
Context window200K131K
Input $/Mtok$1.10$0.14
Output $/Mtok$4.40$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o4 Mini better than Qwen3 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick o4 Mini for a larger context window (200K against 131K tokens) and work measured by LMArena Text: expert or LMArena Text: math, where it leads.

Which is cheaper, o4 Mini or Qwen3 32B?

o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, o4 Mini or Qwen3 32B?

o4 Mini, with 200K tokens against 131K.

How many benchmarks is the o4 Mini vs Qwen3 32B comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. o4 Mini's coding index rests on 0 independent benchmarks and Qwen3 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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