Enter opens the highlighted result. Esc closes.

GPT-5.1-Codex-Mini vs Qwen3 235B A22B Thinking 2507

GPT-5.1-Codex-Mini leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 20.4 to 12.7, and GPT-5.1-Codex-Mini costs 1.8x less per output token ($2.00 vs $3.50 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

Replace GPT-5.1-Codex-Mini Replace Qwen3 235B A22B Thinking 2507
GPT-5.1-Codex-MiniOpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
6
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
1
vs boards won of 7 shared

GPT-5.1-Codex-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-5.1-Codex-Mini for output tokens 1.8x cheaper ($2.00 vs $3.50 per million) and a larger context window (400K against 128K tokens).

Model AGPT-5.1-Codex-MiniOpenAINot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
7
GPT-5.1-Codex-Mini only
15
Qwen3 235B A22B Thinking 2507 only
39
Like-for-like categories
2 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-5.1-Codex-Mini not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
Widest category
Web design, 11.4 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: data viz: GPT-5.1-Codex-Mini 1097 against Qwen3 235B A22B Thinking 2507 950, 18.4 points apart on a 0 to 100 scale.
Output price
GPT-5.1-Codex-Mini $2.00 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 1.8x apart.
Context window
GPT-5.1-Codex-Mini 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-5.1-Codex-MiniBarsQwen3 235B A22B Thinking 2507Ties
Intelligence10
Web design51
All shared boards61
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
LMArena WebDev1244Not measuredOnly GPT-5.1-Codex-Mini measured
AA Coding IndexNot measured22.1Only Qwen3 235B A22B Thinking 2507 measured
LiveCodeBench (Artificial Analysis run)83.6%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%Not measuredOnly GPT-5.1-Codex-Mini measured
Terminal-Bench61.6%Not measuredOnly GPT-5.1-Codex-Mini measured
WeirdMLNot measured41.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: codingNot measured1424Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: software and ITNot measured1431Only Qwen3 235B A22B Thinking 2507 measured
LMArena WebDev: HTML1253Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
AA Intelligence Index20.412.7GPT-5.1-Codex-Mini
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
AA Agentic IndexNot measured1.3Only Qwen3 235B A22B Thinking 2507 measured
τ²-Bench Telecom62.9%Not measuredOnly GPT-5.1-Codex-Mini measured
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Reasoning benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
GPQA Diamond (Artificial Analysis run)81.3%Not measuredOnly GPT-5.1-Codex-Mini measured
Humanity's Last Exam (Artificial Analysis run)18.5%Not measuredOnly GPT-5.1-Codex-Mini measured
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard promptsNot measured1416Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: expertNot measured1463Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts in EnglishNot measured1432Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
AA Math Index91.7Not measuredOnly GPT-5.1-Codex-Mini measured
AIME 2025 (Artificial Analysis run)91.7%Not measuredOnly GPT-5.1-Codex-Mini measured
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: mathNot measured1412Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: mathematical workNot measured1435Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
MMLU Pro (Artificial Analysis run)82.0%Not measuredOnly GPT-5.1-Codex-Mini measured
SimpleQA VerifiedNot measured40.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: scienceNot measured1433Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: medicine and healthcareNot measured1456Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: legal and governmentNot measured1415Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: business and financeNot measured1413Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index51
Web design benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
Design Arena: websites11111052GPT-5.1-Codex-Mini
Design Arena: UI components1078942GPT-5.1-Codex-Mini
Design Arena: game dev1092956GPT-5.1-Codex-Mini
Design Arena: data viz1097950GPT-5.1-Codex-Mini
Design Arena: 3D988997Qwen3 235B A22B Thinking 2507
Design Arena: all code categories10931032GPT-5.1-Codex-Mini
Design Arena: SVG978Not measuredOnly GPT-5.1-Codex-Mini measured
Design Arena: ASCII art1105Not measuredOnly GPT-5.1-Codex-Mini measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards, none shared
General benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507Leader
IFBench67.9%Not measuredOnly GPT-5.1-Codex-Mini measured
Long context reasoning (AA-LCR)66.7%Not measuredOnly GPT-5.1-Codex-Mini measured
DTBenchNot measured80.3%Only Qwen3 235B A22B Thinking 2507 measured
LMCANot measured29.3%Only Qwen3 235B A22B Thinking 2507 measured
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena TextNot measured1415Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: instruction followingNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: creative writingNot measured1384Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: EnglishNot measured1429Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: non-EnglishNot measured1397Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: ChineseNot measured1481Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: GermanNot measured1408Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: JapaneseNot measured1386Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: KoreanNot measured1375Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: SpanishNot measured1389Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: RussianNot measured1401Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: PolishNot measured1390Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: multi-turnNot measured1406Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: longer queriesNot measured1400Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: writing and languageNot measured1388Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: entertainment and mediaNot measured1370Only Qwen3 235B A22B Thinking 2507 measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
BenchmarkGPT-5.1-Codex-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-5.1-Codex-Mini$0.0013Fits in one request
Qwen3 235B A22B Thinking 2507$0.0022Fits in one request

GPT-5.1-Codex-Mini costs less

Repository review

50K input + 3K output tokens

GPT-5.1-Codex-Mini$0.018Fits in one request
Qwen3 235B A22B Thinking 2507$0.033Fits in one request

GPT-5.1-Codex-Mini costs less

Agent loop

200K input + 10K output tokens

GPT-5.1-Codex-Mini$0.070Fits in one request
Qwen3 235B A22B Thinking 2507$0.125Exceeds the context window

GPT-5.1-Codex-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-5.1-Codex-Mini and Qwen3 235B A22B Thinking 2507
SpecificationOpenAI GPT-5.1-Codex-MiniQwen3 235B A22B Thinking 2507
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025July 25, 2025
Context window400K128K
Input $/Mtok$0.25$0.45
Output $/Mtok$2.00$3.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1-Codex-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-5.1-Codex-Mini for output tokens 1.8x cheaper ($2.00 vs $3.50 per million) and a larger context window (400K against 128K tokens).

Which is cheaper, GPT-5.1-Codex-Mini or Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.1-Codex-Mini or Qwen3 235B A22B Thinking 2507?

GPT-5.1-Codex-Mini, with 400K tokens against 128K.

How many benchmarks is the GPT-5.1-Codex-Mini vs Qwen3 235B A22B Thinking 2507 comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. GPT-5.1-Codex-Mini's coding index rests on 1 independent benchmark 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