Enter opens the highlighted result. Esc closes.

GPT-4.1 vs Qwen3 235B A22B Thinking 2507

GPT-4.1 and Qwen3 235B A22B Thinking 2507 tie on the Artificial Analysis Intelligence Index at 12.7, and Qwen3 235B A22B Thinking 2507 costs 2.3x less per output token ($3.50 vs $8.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace GPT-4.1 Replace Qwen3 235B A22B Thinking 2507
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
3
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
37
vs boards won of 41 shared, 1 tied

GPT-4.1 or Qwen3 235B A22B Thinking 2507: which to pick

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

Pick GPT-4.1 for a larger context window (1.05M against 128K tokens) and work measured by WeirdML or LMArena Text: coding, where it leads.

Model AGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
GPT-4.1 only
54
Qwen3 235B A22B Thinking 2507 only
5
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 not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Math, 22.7 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4.1 38.3% against Qwen3 235B A22B Thinking 2507 86.7%, 48.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 2.3x apart.
Context window
GPT-4.1 takes 1.05M 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-4.1BarsQwen3 235B A22B Thinking 2507Ties
Coding03
Intelligence001 tie
Reasoning04
Math03
Knowledge05
Web design33
General019
All shared boards3371 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured22.1Only Qwen3 235B A22B Thinking 2507 measured
LiveCodeBench (Vals AI)54.7%Not measuredOnly GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)45.7%Not measuredOnly GPT-4.1 measured
Terminal-Bench Hard (Artificial Analysis run)13.6%Not measuredOnly GPT-4.1 measured
WeirdML39.0%41.0%Qwen3 235B A22B Thinking 2507
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901424Qwen3 235B A22B Thinking 2507
LMArena Text: software and IT13911431Qwen3 235B A22B Thinking 2507
SciCode4.6%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index00
Intelligence benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index12.712.7Tie
Epoch Capabilities Index136.7Not measuredOnly GPT-4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
τ²-Bench Telecom47.1%Not measuredOnly GPT-4.1 measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Berkeley Function Calling Leaderboard (BFCL)54.0%Not measuredOnly GPT-4.1 measured
BrowseComp-Plus36.4%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
GPQA Diamond65.4%Not measuredOnly GPT-4.1 measured
MMMU Pro (Vals AI)72.4%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)66.6%Not measuredOnly GPT-4.1 measured
Humanity's Last Exam (Artificial Analysis run)4.2%Not measuredOnly GPT-4.1 measured
GPQA Diamond (Epoch AI run)66.9%80.1%Qwen3 235B A22B Thinking 2507
ARC-AGI5.5%Not measuredOnly GPT-4.1 measured
ARC-AGI-20.4%Not measuredOnly GPT-4.1 measured
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts13841416Qwen3 235B A22B Thinking 2507
LMArena Text: expert13641463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English13931432Qwen3 235B A22B Thinking 2507
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Kagi LLM Benchmark52.3%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
AIME39.6%Not measuredOnly GPT-4.1 measured
MATH 500 (Vals AI)87.2%Not measuredOnly GPT-4.1 measured
MGSM (Vals AI)87.7%Not measuredOnly GPT-4.1 measured
AA Math Index34.7Not measuredOnly GPT-4.1 measured
AIME 2025 (Artificial Analysis run)34.7%Not measuredOnly GPT-4.1 measured
OTIS Mock AIME38.3%86.7%Qwen3 235B A22B Thinking 2507
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%Not measuredOnly GPT-4.1 measured
LMArena Text: math13691412Qwen3 235B A22B Thinking 2507
LMArena Text: mathematical work13601435Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
MMLU Pro80.5%Not measuredOnly GPT-4.1 measured
LegalBench (Vals AI)83.1%Not measuredOnly GPT-4.1 measured
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%Not measuredOnly GPT-4.1 measured
TaxEval (Vals AI)75.1%Not measuredOnly GPT-4.1 measured
MortgageTax (Vals AI)65.9%Not measuredOnly GPT-4.1 measured
MedQA (Vals AI)91.2%Not measuredOnly GPT-4.1 measured
MMLU Pro (Artificial Analysis run)80.6%Not measuredOnly GPT-4.1 measured
SimpleQA Verified31.1%40.4%Qwen3 235B A22B Thinking 2507
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821433Qwen3 235B A22B Thinking 2507
LMArena Text: medicine and healthcare13791456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government13991415Qwen3 235B A22B Thinking 2507
LMArena Text: business and finance13691413Qwen3 235B A22B Thinking 2507
FACTS Benchmark Suite45.8%Not measuredOnly GPT-4.1 measured
PRBench Finance34.3%Not measuredOnly GPT-4.1 measured
PRBench Legal36.5%Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index33
Web design benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
Design Arena: websites10381052Qwen3 235B A22B Thinking 2507
Design Arena: UI components998942GPT-4.1
Design Arena: game dev1079956GPT-4.1
Design Arena: data viz1104950GPT-4.1
Design Arena: 3D849997Qwen3 235B A22B Thinking 2507
Design Arena: all code categories10251032Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GPT-4.1 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 235B A22B Thinking 2507Leader
IFBench43.0%Not measuredOnly GPT-4.1 measured
Long context reasoning (AA-LCR)68.3%Not measuredOnly GPT-4.1 measured
DTBench68.3%80.3%Qwen3 235B A22B Thinking 2507
LMCA25.6%29.3%Qwen3 235B A22B Thinking 2507
Fiction.LiveBench63.9%75.0%Qwen3 235B A22B Thinking 2507
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text13831415Qwen3 235B A22B Thinking 2507
LMArena Text: instruction following13671386Qwen3 235B A22B Thinking 2507
LMArena Text: creative writing13631384Qwen3 235B A22B Thinking 2507
LMArena Vision1210Not measuredOnly GPT-4.1 measured
LMArena Text: English13921429Qwen3 235B A22B Thinking 2507
LMArena Text: non-English13701397Qwen3 235B A22B Thinking 2507
LMArena Text: Chinese13821481Qwen3 235B A22B Thinking 2507
LMArena Text: German13811408Qwen3 235B A22B Thinking 2507
LMArena Text: Japanese13191386Qwen3 235B A22B Thinking 2507
LMArena Text: Korean13381375Qwen3 235B A22B Thinking 2507
LMArena Text: French1382Not measuredOnly GPT-4.1 measured
LMArena Text: Spanish13761389Qwen3 235B A22B Thinking 2507
LMArena Text: Russian13771401Qwen3 235B A22B Thinking 2507
LMArena Text: Polish13891390Qwen3 235B A22B Thinking 2507
LMArena Text: multi-turn13971406Qwen3 235B A22B Thinking 2507
LMArena Text: longer queries13851400Qwen3 235B A22B Thinking 2507
LMArena Text: writing and language13711388Qwen3 235B A22B Thinking 2507
LMArena Text: entertainment and media13651370Qwen3 235B A22B Thinking 2507
LMArena Vision: English1209Not measuredOnly GPT-4.1 measured
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 measured
MultiChallenge39.4%Not measuredOnly GPT-4.1 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 and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1Qwen3 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-4.1$0.0060Fits 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-4.1$0.124Fits 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-4.1$0.480Fits 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-4.1 and Qwen3 235B A22B Thinking 2507
SpecificationOpenAI GPT-4.1Qwen3 235B A22B Thinking 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 25, 2025
Context window1.05M128K
Input $/Mtok$2.00$0.45
Output $/Mtok$8.00$3.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Qwen3 235B A22B Thinking 2507 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a larger context window (1.05M against 128K tokens) and work measured by WeirdML or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4.1 or Qwen3 235B A22B Thinking 2507?

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, GPT-4.1 or Qwen3 235B A22B Thinking 2507?

GPT-4.1, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 vs Qwen3 235B A22B Thinking 2507 comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 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.

Compare next