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GPT-5 vs Qwen3 235B A22B Thinking 2507

GPT-5 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 23.0 to 12.7, and Qwen3 235B A22B Thinking 2507 costs 2.9x less per output token ($3.50 vs $10.00 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace GPT-5 Replace Qwen3 235B A22B Thinking 2507
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
27
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
17
vs boards won of 44 shared

GPT-5 or Qwen3 235B A22B Thinking 2507: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.

Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.9x cheaper ($3.50 vs $10.00 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Model AGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
GPT-5 only
69
Qwen3 235B A22B Thinking 2507 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-5 38.8 from 3 benchmarks, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Web design, 22.1 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: data viz: GPT-5 1222 against Qwen3 235B A22B Thinking 2507 950, 34.0 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 2.9x apart.
Context window
GPT-5 takes 400K tokens, Qwen3 235B A22B Thinking 2507 128K.

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-5BarsQwen3 235B A22B Thinking 2507Ties
Coding31
Intelligence10
Reasoning23
Math12
Knowledge23
Web design60
General128
All shared boards2717
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
Aider polyglot88.0%Not measuredOnly GPT-5 measured
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev1418Not measuredOnly GPT-5 measured
AA Coding Index37.822.1GPT-5
LiveCodeBench (Vals AI)85.9%Not measuredOnly GPT-5 measured
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%Not measuredOnly GPT-5 measured
LiveCodeBench (Artificial Analysis run)84.6%Not measuredOnly GPT-5 measured
Terminal-Bench Hard (Artificial Analysis run)37.9%Not measuredOnly GPT-5 measured
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%41.0%GPT-5
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361424GPT-5
LMArena Text: software and IT14201431Qwen3 235B A22B Thinking 2507
LMArena WebDev: HTML1427Not measuredOnly GPT-5 measured
SciCode0.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index23.012.7GPT-5
Epoch Capabilities Index150.0Not measuredOnly GPT-5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
τ²-Bench Telecom86.5%Not measuredOnly GPT-5 measured
METR time horizons69.6%Not measuredOnly GPT-5 measured
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
Reasoning benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
GPQA Diamond85.6%Not measuredOnly GPT-5 measured
MMMU Pro (Vals AI)81.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Artificial Analysis run)85.4%Not measuredOnly GPT-5 measured
Humanity's Last Exam (Artificial Analysis run)28.5%Not measuredOnly GPT-5 measured
GPQA Diamond (Epoch AI run)86.2%80.1%GPT-5
ARC-AGI65.7%Not measuredOnly GPT-5 measured
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%Not measuredOnly GPT-5 measured
Chess puzzles36.0%Not measuredOnly GPT-5 measured
Mystery game puzzles23.0%9.0%GPT-5
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%Not measuredOnly GPT-5 measured
LMArena Text: hard prompts14151416Qwen3 235B A22B Thinking 2507
LMArena Text: expert14191463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English14191432Qwen3 235B A22B Thinking 2507
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
AIME93.4%Not measuredOnly GPT-5 measured
MATH 500 (Vals AI)96.0%Not measuredOnly GPT-5 measured
MGSM (Vals AI)92.8%Not measuredOnly GPT-5 measured
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%86.7%GPT-5
FrontierMath, tiers 1 to 355.4%Not measuredOnly GPT-5 measured
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%Not measuredOnly GPT-5 measured
LMArena Text: math14071412Qwen3 235B A22B Thinking 2507
LMArena Text: mathematical work14051435Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
MMLU Pro86.5%Not measuredOnly GPT-5 measured
LegalBench (Vals AI)86.0%Not measuredOnly GPT-5 measured
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%Not measuredOnly GPT-5 measured
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%Not measuredOnly GPT-5 measured
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%Not measuredOnly GPT-5 measured
SimpleQA Verified50.1%40.4%GPT-5
GeoBench81.0%Not measuredOnly GPT-5 measured
LMArena Text: science14161433Qwen3 235B A22B Thinking 2507
LMArena Text: medicine and healthcare14131456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government14311415GPT-5
LMArena Text: business and finance14001413Qwen3 235B A22B Thinking 2507
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
Design Arena: websites11841052GPT-5
Design Arena: UI components1177942GPT-5
Design Arena: game dev1185956GPT-5
Design Arena: data viz1222950GPT-5
Design Arena: 3D1055997GPT-5
Design Arena: all code categories11671032GPT-5
Design Arena: SVG1188Not measuredOnly GPT-5 measured
Design Arena: ASCII art1141Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index128
General benchmarks for GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%Not measuredOnly GPT-5 measured
Long context reasoning (AA-LCR)78.2%Not measuredOnly GPT-5 measured
DTBench90.7%80.3%GPT-5
LMCA40.0%29.3%GPT-5
Fiction.LiveBench97.2%75.0%GPT-5
Creative writing (Lech Mazur)86.0%82.4%GPT-5
LMArena Text14061415Qwen3 235B A22B Thinking 2507
LMArena Text: instruction following13881386GPT-5
LMArena Text: creative writing13651384Qwen3 235B A22B Thinking 2507
LMArena Vision1232Not measuredOnly GPT-5 measured
LMArena Text: English14091429Qwen3 235B A22B Thinking 2507
LMArena Text: non-English13971397Qwen3 235B A22B Thinking 2507
LMArena Text: Chinese14221481Qwen3 235B A22B Thinking 2507
LMArena Text: German14161408GPT-5
LMArena Text: Japanese14091386GPT-5
LMArena Text: Korean13601375Qwen3 235B A22B Thinking 2507
LMArena Text: French1409Not measuredOnly GPT-5 measured
LMArena Text: Spanish13991389GPT-5
LMArena Text: Russian14071401GPT-5
LMArena Text: Polish14311390GPT-5
LMArena Text: multi-turn14261406GPT-5
LMArena Text: longer queries13991400Qwen3 235B A22B Thinking 2507
LMArena Text: writing and language13841388Qwen3 235B A22B Thinking 2507
LMArena Text: entertainment and media13791370GPT-5
LMArena Vision: English1231Not measuredOnly GPT-5 measured
LMArena Vision: Chinese1267Not measuredOnly GPT-5 measured
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 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 GPT-5 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5Qwen3 235B A22B Thinking 2507Leader
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$0.0063Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

Qwen3 235B A22B Thinking 2507 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

Qwen3 235B A22B Thinking 2507 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 and Qwen3 235B A22B Thinking 2507
SpecificationOpenAI GPT-5Qwen3 235B A22B Thinking 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025July 25, 2025
Context window400K128K
Input $/Mtok$1.25$0.45
Output $/Mtok$10.00$3.50
Coding index38.8Not benchmarked
Independent measurements behind it30
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than Qwen3 235B A22B Thinking 2507 for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for output tokens 2.9x cheaper ($3.50 vs $10.00 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Which is cheaper, GPT-5 or Qwen3 235B A22B Thinking 2507?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or Qwen3 235B A22B Thinking 2507?

GPT-5, with 400K tokens against 128K.

How many benchmarks is the GPT-5 vs Qwen3 235B A22B Thinking 2507 comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. GPT-5's coding index rests on 3 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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