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GPT-4.1 Mini vs Qwen3 32B

GPT-4.1 Mini leads Qwen3 32B on the Artificial Analysis Intelligence Index, 10.2 to 7.3, and Qwen3 32B costs 4.0x less per output token ($0.40 vs $1.60 per million). Updated October 21, 2026; 43 benchmarks have a result for both.

GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
24
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
19
vs boards won of 43 shared

GPT-4.1 Mini or Qwen3 32B: which to pick

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

Pick GPT-4.1 Mini for a larger context window (1.05M against 131K tokens) and work measured by Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.

Shared results
43
GPT-4.1 Mini only
43
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
GPT-4.1 Mini not benchmarked, Qwen3 32B not benchmarked.
Widest category
Math, 19.4 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 Mini 44.0% against Qwen3 32B 0.0%, 44.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Qwen3 32B $0.40 per million output tokens, 4.0x apart.
Context window
GPT-4.1 Mini takes 1.05M 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
CategoryGPT-4.1 MiniBarsQwen3 32BTies
Coding23
Intelligence11
Agentic work20
Reasoning34
Math05
Knowledge23
General143
All shared boards2419
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
Coding benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
Aider polyglot32.4%40.0%Qwen3 32B
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.2Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%54.6%Qwen3 32B
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)7.6%3.0%GPT-4.1 Mini
WeirdML37.6%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: coding13671357GPT-4.1 Mini
LMArena Text: software and IT13601366Qwen3 32B
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
AA Intelligence Index10.27.3GPT-4.1 Mini
Epoch Capabilities Index134.9138.4Qwen3 32B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
τ²-Bench Telecom52.9%29.8%GPT-4.1 Mini
Berkeley Function Calling Leaderboard (BFCL)50.4%48.7%GPT-4.1 Mini
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
Reasoning benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
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%66.8%Qwen3 32B
Humanity's Last Exam (Artificial Analysis run)5.0%7.4%Qwen3 32B
GPQA Diamond (Epoch AI run)65.8%65.7%GPT-4.1 Mini
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%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: hard prompts13491334GPT-4.1 Mini
LMArena Text: expert13381362Qwen3 32B
LMArena Text: hard prompts in English13621350GPT-4.1 Mini
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%48.7%Qwen3 32B
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
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 Index46.373.0Qwen3 32B
AIME 2025 (Artificial Analysis run)46.3%73.0%Qwen3 32B
OTIS Mock AIME44.7%66.9%Qwen3 32B
FrontierMath, tiers 1 to 36.7%Not measuredOnly GPT-4.1 Mini measured
MATH level 587.3%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: math13431399Qwen3 32B
LMArena Text: mathematical work13471420Qwen3 32B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
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%Not measuredOnly GPT-4.1 Mini measured
MedQA (Vals AI)84.6%Not measuredOnly GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)78.1%79.8%Qwen3 32B
SimpleQA Verified12.7%Not measuredOnly GPT-4.1 Mini measured
LMArena Text: science13281372Qwen3 32B
LMArena Text: medicine and healthcare13241368Qwen3 32B
LMArena Text: legal and government13431324GPT-4.1 Mini
LMArena Text: business and finance13221318GPT-4.1 Mini
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
Design Arena: websites997Not measuredOnly GPT-4.1 Mini measured
Design Arena: UI components961Not measuredOnly GPT-4.1 Mini measured
Design Arena: game dev1071Not measuredOnly GPT-4.1 Mini measured
Design Arena: data viz1034Not measuredOnly GPT-4.1 Mini measured
Design Arena: 3D837Not measuredOnly GPT-4.1 Mini measured
Design Arena: all code categories994Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index143
General benchmarks for GPT-4.1 Mini and Qwen3 32B
BenchmarkGPT-4.1 MiniQwen3 32BLeader
IFBench38.3%36.3%GPT-4.1 Mini
Long context reasoning (AA-LCR)44.0%0.0%GPT-4.1 Mini
DTBench68.8%67.5%GPT-4.1 Mini
LMCA21.1%17.3%GPT-4.1 Mini
Fiction.LiveBench44.4%74.2%Qwen3 32B
LMArena Text13411340GPT-4.1 Mini
LMArena Text: instruction following13331305GPT-4.1 Mini
LMArena Text: creative writing12991297GPT-4.1 Mini
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561359Qwen3 32B
LMArena Text: non-English13181317GPT-4.1 Mini
LMArena Text: Chinese13291357Qwen3 32B
LMArena Text: German13501341GPT-4.1 Mini
LMArena Text: Japanese1290Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Korean1298Not measuredOnly GPT-4.1 Mini measured
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish1319Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Russian13241311GPT-4.1 Mini
LMArena Text: Polish1326Not measuredOnly GPT-4.1 Mini measured
LMArena Text: multi-turn13541331GPT-4.1 Mini
LMArena Text: longer queries13441327GPT-4.1 Mini
LMArena Text: writing and language13191298GPT-4.1 Mini
LMArena Text: entertainment and media13001279GPT-4.1 Mini
LMArena Vision: English1191Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: Chinese1186Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: reading text1188Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: humor1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: captioning1174Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: recognizing things1187Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: creative writing1182Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 16 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 32B
BenchmarkGPT-4.1 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

GPT-4.1 Mini$0.0012Fits in one request
Qwen3 32B$0.0003Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Qwen3 32B$0.0082Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
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 GPT-4.1 Mini and Qwen3 32B
SpecificationOpenAI GPT-4.1 MiniQwen3 32B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 28, 2025
Context window1.05M131K
Input $/Mtok$0.40$0.14
Output $/Mtok$1.60$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.818Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Mini better than Qwen3 32B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Mini for a larger context window (1.05M against 131K tokens) and work measured by Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, GPT-4.1 Mini or Qwen3 32B?

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GPT-4.1 Mini or Qwen3 32B?

GPT-4.1 Mini, with 1.05M tokens against 131K.

How many benchmarks is the GPT-4.1 Mini vs Qwen3 32B comparison based on?

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