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GPT-5.1 vs Qwen3 32B

Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.1 Replace Qwen3 32B
GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
39
Qwen3 32BQwen
Coding
40.0
Overall
7.3
Output $/M
$0.28
0
vs boards won of 39 shared

Decision reading

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 40.0 for Qwen3 32B.

Pick Qwen3 32B when output tokens cost 35.7x less.

Model AGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved taskModel BQwen3 32BQwen40.0/1001 independent benchmarkNo cost per solved task
Shared results
39
GPT-5.1 only
61
Qwen3 32B only
3
Like-for-like categories
7 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
GPT-5.1 53.3 from 2 benchmarks, Qwen3 32B 40.0 from 1 benchmark.
Widest category
Agentic work, 52.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GPT-5.1 80.0% against Qwen3 32B 0.0%, 80.0 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Qwen3 32B $0.28 per million output tokens, 35.7x apart.
Context window
GPT-5.1 takes 400K 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-5.1BarsQwen3 32BTies
Coding40
Intelligence20
Agentic work10
Reasoning60
Math50
Knowledge50
General160
All shared boards390
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
SWE-bench Verified66.0%Not measuredOnly GPT-5.1 measured
LMArena WebDev1396Not measuredOnly GPT-5.1 measured
AA Coding Index49.4Not measuredOnly GPT-5.1 measured
LiveCodeBench (Vals AI)86.5%Not measuredOnly GPT-5.1 measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.1 measured
Vibe Code Bench (Vals AI)24.6%Not measuredOnly GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)86.8%54.6%GPT-5.1
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)45.5%3.0%GPT-5.1
Terminal-Bench47.6%Not measuredOnly GPT-5.1 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%Not measuredOnly GPT-5.1 measured
LMArena Text: coding14531357GPT-5.1
LMArena Text: software and IT14541366GPT-5.1
LMArena WebDev: React1307Not measuredOnly GPT-5.1 measured
LMArena WebDev: HTML1405Not measuredOnly GPT-5.1 measured
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
AA Intelligence Index24.77.3GPT-5.1
Epoch Capabilities Index149.8138.4GPT-5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
τ²-Bench Telecom81.9%29.8%GPT-5.1
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
GPQA Diamond86.6%Not measuredOnly GPT-5.1 measured
MMMU Pro (Vals AI)83.2%Not measuredOnly GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)87.3%66.8%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)28.5%7.4%GPT-5.1
GPQA Diamond (Epoch AI run)87.6%65.7%GPT-5.1
ARC-AGI72.8%Not measuredOnly GPT-5.1 measured
ARC-AGI-217.6%Not measuredOnly GPT-5.1 measured
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%Not measuredOnly GPT-5.1 measured
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571334GPT-5.1
LMArena Text: expert14701362GPT-5.1
LMArena Text: hard prompts in English14621350GPT-5.1
LMArena Vision: diagrams1264Not measuredOnly GPT-5.1 measured
LMArena Vision: homework1272Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
AIME93.3%Not measuredOnly GPT-5.1 measured
MGSM (Vals AI)93.0%Not measuredOnly GPT-5.1 measured
AA Math Index94.073.0GPT-5.1
AIME 2025 (Artificial Analysis run)94.0%73.0%GPT-5.1
OTIS Mock AIME88.6%66.9%GPT-5.1
LMArena Text: math14461399GPT-5.1
LMArena Text: mathematical work14491420GPT-5.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
MMLU Pro86.4%Not measuredOnly GPT-5.1 measured
LegalBench (Vals AI)85.7%Not measuredOnly GPT-5.1 measured
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%Not measuredOnly GPT-5.1 measured
TaxEval (Vals AI)74.9%Not measuredOnly GPT-5.1 measured
MortgageTax (Vals AI)61.4%Not measuredOnly GPT-5.1 measured
MedQA (Vals AI)96.4%Not measuredOnly GPT-5.1 measured
MedCode (Vals AI)52.7%Not measuredOnly GPT-5.1 measured
MMLU Pro (Artificial Analysis run)87.0%79.8%GPT-5.1
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591372GPT-5.1
LMArena Text: medicine and healthcare14561368GPT-5.1
LMArena Text: legal and government14591324GPT-5.1
LMArena Text: business and finance14311318GPT-5.1
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
Design Arena: websites1187Not measuredOnly GPT-5.1 measured
Design Arena: UI components1166Not measuredOnly GPT-5.1 measured
Design Arena: game dev1179Not measuredOnly GPT-5.1 measured
Design Arena: data viz1204Not measuredOnly GPT-5.1 measured
Design Arena: 3D1061Not measuredOnly GPT-5.1 measured
Design Arena: all code categories1171Not measuredOnly GPT-5.1 measured
Design Arena: SVG1149Not measuredOnly GPT-5.1 measured
Design Arena: ASCII art1118Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 32BLeader
SAGE (Vals AI)43.2%Not measuredOnly GPT-5.1 measured
MedScribe (Vals AI)88.1%Not measuredOnly GPT-5.1 measured
IFBench72.9%36.3%GPT-5.1
Long context reasoning (AA-LCR)80.0%0.0%GPT-5.1
DTBench90.1%67.5%GPT-5.1
LMCA43.9%17.3%GPT-5.1
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431340GPT-5.1
LMArena Text: instruction following14431305GPT-5.1
LMArena Text: creative writing14271297GPT-5.1
LMArena Vision1250Not measuredOnly GPT-5.1 measured
LMArena Text: English14511359GPT-5.1
LMArena Text: non-English14311317GPT-5.1
LMArena Text: Chinese14951357GPT-5.1
LMArena Text: German14381341GPT-5.1
LMArena Text: Japanese1453Not measuredOnly GPT-5.1 measured
LMArena Text: Korean1401Not measuredOnly GPT-5.1 measured
LMArena Text: French1450Not measuredOnly GPT-5.1 measured
LMArena Text: Spanish1433Not measuredOnly GPT-5.1 measured
LMArena Text: Russian14351311GPT-5.1
LMArena Text: Polish1440Not measuredOnly GPT-5.1 measured
LMArena Text: multi-turn14501331GPT-5.1
LMArena Text: longer queries14481327GPT-5.1
LMArena Text: writing and language14281298GPT-5.1
LMArena Text: entertainment and media14151279GPT-5.1
LMArena Vision: English1252Not measuredOnly GPT-5.1 measured
LMArena Vision: Chinese1270Not measuredOnly GPT-5.1 measured
LMArena Vision: reading text1255Not measuredOnly GPT-5.1 measured
LMArena Vision: humor1263Not measuredOnly GPT-5.1 measured
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing1266Not measuredOnly GPT-5.1 measured
LMArena Document1403Not measuredOnly GPT-5.1 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 GPT-5.1 and Qwen3 32B
BenchmarkGPT-5.1Qwen3 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-5.1$0.0063Fits in one request
Qwen3 32B$0.0002Fits in one request

Qwen3 32B costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request
Qwen3 32B$0.0048Fits in one request

Qwen3 32B costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits in one request
Qwen3 32B$0.019Exceeds 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-5.1 and Qwen3 32B
SpecificationOpenAI GPT-5.1Qwen3 32B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025April 28, 2025
Context window400K131K
Input $/Mtok$1.25$0.08
Output $/Mtok$10.00$0.28
Coding index53.340.0
Independent measurements behind it21
Cost per solved task$1.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Qwen3 32B for coding?

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 40.0 for Qwen3 32B. Pick Qwen3 32B when output tokens cost 35.7x less.

Which is cheaper, GPT-5.1 or Qwen3 32B?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 32B costs $0.08 and $0.28. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, GPT-5.1 or Qwen3 32B?

GPT-5.1, with 400K tokens against 131K.

How many benchmarks is the GPT-5.1 vs Qwen3 32B comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. GPT-5.1's coding index rests on 2 independent benchmarks and Qwen3 32B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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