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GPT-4.1 Mini vs Qwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 12.7 to 10.2, and GPT-4.1 Mini costs 2.2x less per output token ($1.60 vs $3.50 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace GPT-4.1 Mini Replace Qwen3 235B A22B Thinking 2507
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
3
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
40
vs boards won of 43 shared

GPT-4.1 Mini 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 Mini for output tokens 2.2x cheaper ($1.60 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).

Model AGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
GPT-4.1 Mini only
45
Qwen3 235B A22B Thinking 2507 only
3
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 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 Mini 44.7% against Qwen3 235B A22B Thinking 2507 86.7%, 41.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Mini $1.60 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 2.2x apart.
Context window
GPT-4.1 Mini 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-4.1 MiniBarsQwen3 235B A22B Thinking 2507Ties
Coding04
Intelligence01
Reasoning05
Math03
Knowledge05
Web design33
General019
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
Aider polyglot32.4%Not measuredOnly GPT-4.1 Mini measured
SWE-bench Verified23.9%Not measuredOnly GPT-4.1 Mini measured
AA Coding Index20.222.1Qwen3 235B A22B Thinking 2507
LiveCodeBench (Vals AI)58.2%Not measuredOnly GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)48.3%Not measuredOnly GPT-4.1 Mini measured
Terminal-Bench Hard (Artificial Analysis run)7.6%Not measuredOnly GPT-4.1 Mini measured
WeirdML37.6%41.0%Qwen3 235B A22B Thinking 2507
LMArena Text: coding13671424Qwen3 235B A22B Thinking 2507
LMArena Text: software and IT13601431Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
AA Intelligence Index10.212.7Qwen3 235B A22B Thinking 2507
Epoch Capabilities Index134.9Not measuredOnly GPT-4.1 Mini measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
τ²-Bench Telecom52.9%Not measuredOnly GPT-4.1 Mini measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Berkeley Function Calling Leaderboard (BFCL)50.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
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%Not measuredOnly GPT-4.1 Mini measured
Humanity's Last Exam (Artificial Analysis run)5.0%Not measuredOnly GPT-4.1 Mini measured
GPQA Diamond (Epoch AI run)65.8%80.1%Qwen3 235B A22B Thinking 2507
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%9.0%Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts13491416Qwen3 235B A22B Thinking 2507
LMArena Text: expert13381463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English13621432Qwen3 235B A22B Thinking 2507
LMArena Vision: diagrams1182Not measuredOnly GPT-4.1 Mini measured
LMArena Vision: homework1214Not measuredOnly GPT-4.1 Mini measured
Kagi LLM Benchmark48.6%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
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 Index46.3Not measuredOnly GPT-4.1 Mini measured
AIME 2025 (Artificial Analysis run)46.3%Not measuredOnly GPT-4.1 Mini measured
OTIS Mock AIME44.7%86.7%Qwen3 235B A22B Thinking 2507
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: math13431412Qwen3 235B A22B Thinking 2507
LMArena Text: mathematical work13471435Qwen3 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 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
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%Not measuredOnly GPT-4.1 Mini measured
SimpleQA Verified12.7%40.4%Qwen3 235B A22B Thinking 2507
LMArena Text: science13281433Qwen3 235B A22B Thinking 2507
LMArena Text: medicine and healthcare13241456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government13431415Qwen3 235B A22B Thinking 2507
LMArena Text: business and finance13221413Qwen3 235B A22B Thinking 2507
PRBench Finance30.4%Not measuredOnly GPT-4.1 Mini measured
PRBench Legal30.4%Not measuredOnly GPT-4.1 Mini measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index33
Web design benchmarks for GPT-4.1 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
Design Arena: websites9971052Qwen3 235B A22B Thinking 2507
Design Arena: UI components959942GPT-4.1 Mini
Design Arena: game dev1070956GPT-4.1 Mini
Design Arena: data viz1034950GPT-4.1 Mini
Design Arena: 3D836997Qwen3 235B A22B Thinking 2507
Design Arena: all code categories9931032Qwen3 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 Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 235B A22B Thinking 2507Leader
IFBench38.3%Not measuredOnly GPT-4.1 Mini measured
Long context reasoning (AA-LCR)44.0%Not measuredOnly GPT-4.1 Mini measured
DTBench68.8%80.3%Qwen3 235B A22B Thinking 2507
LMCA21.1%29.3%Qwen3 235B A22B Thinking 2507
Fiction.LiveBench44.4%75.0%Qwen3 235B A22B Thinking 2507
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text13411415Qwen3 235B A22B Thinking 2507
LMArena Text: instruction following13331386Qwen3 235B A22B Thinking 2507
LMArena Text: creative writing12991384Qwen3 235B A22B Thinking 2507
LMArena Vision1181Not measuredOnly GPT-4.1 Mini measured
LMArena Text: English13561429Qwen3 235B A22B Thinking 2507
LMArena Text: non-English13181397Qwen3 235B A22B Thinking 2507
LMArena Text: Chinese13291481Qwen3 235B A22B Thinking 2507
LMArena Text: German13501408Qwen3 235B A22B Thinking 2507
LMArena Text: Japanese12901386Qwen3 235B A22B Thinking 2507
LMArena Text: Korean12981375Qwen3 235B A22B Thinking 2507
LMArena Text: French1358Not measuredOnly GPT-4.1 Mini measured
LMArena Text: Spanish13191389Qwen3 235B A22B Thinking 2507
LMArena Text: Russian13241401Qwen3 235B A22B Thinking 2507
LMArena Text: Polish13261390Qwen3 235B A22B Thinking 2507
LMArena Text: multi-turn13541406Qwen3 235B A22B Thinking 2507
LMArena Text: longer queries13441400Qwen3 235B A22B Thinking 2507
LMArena Text: writing and language13191388Qwen3 235B A22B Thinking 2507
LMArena Text: entertainment and media13001370Qwen3 235B A22B Thinking 2507
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 17 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 235B A22B Thinking 2507
BenchmarkGPT-4.1 MiniQwen3 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 Mini$0.0012Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Mini$0.025Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Mini$0.096Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

GPT-4.1 Mini 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 235B A22B Thinking 2507
SpecificationOpenAI GPT-4.1 MiniQwen3 235B A22B Thinking 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 25, 2025
Context window1.05M128K
Input $/Mtok$0.40$0.45
Output $/Mtok$1.60$3.50
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 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 Mini for output tokens 2.2x cheaper ($1.60 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).

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

GPT-4.1 Mini costs $0.40 per million input tokens and $1.60 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 Mini only.

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

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

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

43 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Mini'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.

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