Enter opens the highlighted result. Esc closes.

GPT-5 Mini vs Qwen3 VL 235B A22B Instruct

GPT-5 Mini leads Qwen3 VL 235B A22B Instruct on the Artificial Analysis Intelligence Index, 20.6 to 9.9, at about the same output price ($2.00 vs $1.90 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace GPT-5 Mini Replace Qwen3 VL 235B A22B Instruct
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
11
Qwen3 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
38
vs boards won of 49 shared

GPT-5 Mini or Qwen3 VL 235B A22B Instruct: which to pick

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Qwen3 VL 235B A22B Instruct has none, so the two cannot be ranked on coding.

Pick Qwen3 VL 235B A22B Instruct for output tokens 1.1x cheaper ($1.90 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved taskModel BQwen3 VL 235B A22B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
GPT-5 Mini only
52
Qwen3 VL 235B A22B Instruct only
0
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 Mini 34.2 from 2 benchmarks, Qwen3 VL 235B A22B Instruct not benchmarked.
Widest category
Agentic work, 17.0 points apart on average over 1 shared benchmark.
Widest single gap
Terminal-Bench Hard (Artificial Analysis run): GPT-5 Mini 33.3% against Qwen3 VL 235B A22B Instruct 11.4%, 22.0 points apart on a 0 to 100 scale.
Output price
GPT-5 Mini $2.00 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.1x apart.
Context window
GPT-5 Mini takes 400K tokens, Qwen3 VL 235B A22B Instruct 262K.

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 MiniBarsQwen3 VL 235B A22B InstructTies
Coding22
Intelligence10
Agentic work10
Reasoning25
Math22
Knowledge14
General225
All shared boards1138
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
SWE-bench Verified59.8%Not measuredOnly GPT-5 Mini measured
SWE-bench Multilingual39.7%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Vals AI)86.6%Not measuredOnly GPT-5 Mini measured
SWE-bench Verified (Vals AI)60.8%Not measuredOnly GPT-5 Mini measured
Vibe Code Bench (Vals AI)14.2%Not measuredOnly GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)83.8%64.6%GPT-5 Mini
SciCode39.0%Not measuredOnly GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)33.3%11.4%GPT-5 Mini
Terminal-Bench34.8%Not measuredOnly GPT-5 Mini measured
WeirdML52.7%Not measuredOnly GPT-5 Mini measured
LMArena Text: coding14061438Qwen3 VL 235B A22B Instruct
LMArena Text: software and IT13941442Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
AA Intelligence Index20.69.9GPT-5 Mini
Epoch Capabilities Index145.3Not measuredOnly GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
τ²-Bench Telecom71.1%54.1%GPT-5 Mini
Vending-Bench 2-$31Not measuredOnly GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)55.5%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
GPQA Diamond80.3%Not measuredOnly GPT-5 Mini measured
MMMU Pro (Vals AI)78.9%Not measuredOnly GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)82.8%77.2%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)21.5%11.9%GPT-5 Mini
GPQA Diamond (Epoch AI run)75.0%Not measuredOnly GPT-5 Mini measured
ARC-AGI54.3%Not measuredOnly GPT-5 Mini measured
ARC-AGI-24.4%Not measuredOnly GPT-5 Mini measured
Chess puzzles24.0%Not measuredOnly GPT-5 Mini measured
Mystery game puzzles10.0%Not measuredOnly GPT-5 Mini measured
VPCT40.2%Not measuredOnly GPT-5 Mini measured
LMArena Text: hard prompts13801428Qwen3 VL 235B A22B Instruct
LMArena Text: expert13791442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English13831439Qwen3 VL 235B A22B Instruct
LMArena Vision: diagrams12021255Qwen3 VL 235B A22B Instruct
LMArena Vision: homework12101277Qwen3 VL 235B A22B Instruct
Kagi LLM Benchmark70.3%Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
AIME91.5%Not measuredOnly GPT-5 Mini measured
MATH 500 (Vals AI)94.8%Not measuredOnly GPT-5 Mini measured
MGSM (Vals AI)92.6%Not measuredOnly GPT-5 Mini measured
AA Math Index90.788.3GPT-5 Mini
AIME 2025 (Artificial Analysis run)90.7%88.3%GPT-5 Mini
OTIS Mock AIME86.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tiers 1 to 346.7%Not measuredOnly GPT-5 Mini measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5 Mini measured
ProofBench9.0%Not measuredOnly GPT-5 Mini measured
MATH level 597.8%Not measuredOnly GPT-5 Mini measured
LMArena Text: math13781425Qwen3 VL 235B A22B Instruct
LMArena Text: mathematical work13801419Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
Knowledge benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
MMLU Pro82.2%Not measuredOnly GPT-5 Mini measured
LegalBench (Vals AI)81.8%Not measuredOnly GPT-5 Mini measured
CaseLaw (Vals AI)68.5%Not measuredOnly GPT-5 Mini measured
CorpFin (Vals AI)60.2%Not measuredOnly GPT-5 Mini measured
TaxEval (Vals AI)75.2%Not measuredOnly GPT-5 Mini measured
MortgageTax (Vals AI)66.9%Not measuredOnly GPT-5 Mini measured
MedQA (Vals AI)96.1%Not measuredOnly GPT-5 Mini measured
MedCode (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)83.7%83.6%GPT-5 Mini
SimpleQA Verified21.6%Not measuredOnly GPT-5 Mini measured
LMArena Text: science13711444Qwen3 VL 235B A22B Instruct
LMArena Text: medicine and healthcare13801431Qwen3 VL 235B A22B Instruct
LMArena Text: legal and government13751438Qwen3 VL 235B A22B Instruct
LMArena Text: business and finance13581433Qwen3 VL 235B A22B Instruct
FACTS Benchmark Suite38.6%Not measuredOnly GPT-5 Mini measured
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 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
Design Arena: websites1125Not measuredOnly GPT-5 Mini measured
Design Arena: UI components1103Not measuredOnly GPT-5 Mini measured
Design Arena: game dev1129Not measuredOnly GPT-5 Mini measured
Design Arena: data viz1131Not measuredOnly GPT-5 Mini measured
Design Arena: 3D1036Not measuredOnly GPT-5 Mini measured
Design Arena: all code categories1114Not measuredOnly GPT-5 Mini measured
Design Arena: SVG1091Not measuredOnly GPT-5 Mini measured
Design Arena: ASCII art1125Not measuredOnly GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index225
General benchmarks for GPT-5 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
SAGE (Vals AI)43.0%Not measuredOnly GPT-5 Mini measured
MedScribe (Vals AI)80.6%Not measuredOnly GPT-5 Mini measured
IFBench75.4%56.5%GPT-5 Mini
Long context reasoning (AA-LCR)72.3%63.7%GPT-5 Mini
DTBench80.5%Not measuredOnly GPT-5 Mini measured
LMCA34.2%Not measuredOnly GPT-5 Mini measured
Fiction.LiveBench69.4%Not measuredOnly GPT-5 Mini measured
Creative writing (Lech Mazur)83.1%Not measuredOnly GPT-5 Mini measured
LMArena Text13731420Qwen3 VL 235B A22B Instruct
LMArena Text: instruction following13571406Qwen3 VL 235B A22B Instruct
LMArena Text: creative writing13251366Qwen3 VL 235B A22B Instruct
LMArena Vision12021247Qwen3 VL 235B A22B Instruct
LMArena Text: English13791429Qwen3 VL 235B A22B Instruct
LMArena Text: non-English13631405Qwen3 VL 235B A22B Instruct
LMArena Text: Chinese13861463Qwen3 VL 235B A22B Instruct
LMArena Text: German13661424Qwen3 VL 235B A22B Instruct
LMArena Text: Japanese13411385Qwen3 VL 235B A22B Instruct
LMArena Text: Korean13081394Qwen3 VL 235B A22B Instruct
LMArena Text: French13861452Qwen3 VL 235B A22B Instruct
LMArena Text: Spanish13541428Qwen3 VL 235B A22B Instruct
LMArena Text: Russian13621408Qwen3 VL 235B A22B Instruct
LMArena Text: Polish13781419Qwen3 VL 235B A22B Instruct
LMArena Text: multi-turn13631428Qwen3 VL 235B A22B Instruct
LMArena Text: longer queries13551419Qwen3 VL 235B A22B Instruct
LMArena Text: writing and language13441392Qwen3 VL 235B A22B Instruct
LMArena Text: entertainment and media13401368Qwen3 VL 235B A22B Instruct
LMArena Vision: English12161256Qwen3 VL 235B A22B Instruct
LMArena Vision: Chinese12141283Qwen3 VL 235B A22B Instruct
LMArena Vision: reading text11991253Qwen3 VL 235B A22B Instruct
LMArena Vision: humor12051209Qwen3 VL 235B A22B Instruct
LMArena Vision: captioning12171281Qwen3 VL 235B A22B Instruct
LMArena Vision: recognizing things12261249Qwen3 VL 235B A22B Instruct
LMArena Vision: creative writing11811220Qwen3 VL 235B A22B Instruct
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 Mini and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5 MiniQwen3 VL 235B A22B InstructLeader
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 Mini$0.0013Fits in one request
Qwen3 VL 235B A22B Instruct$0.0012Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Repository review

50K input + 3K output tokens

GPT-5 Mini$0.018Fits in one request
Qwen3 VL 235B A22B Instruct$0.016Fits in one request

Qwen3 VL 235B A22B Instruct costs less

Agent loop

200K input + 10K output tokens

GPT-5 Mini$0.070Fits in one request
Qwen3 VL 235B A22B Instruct$0.061Fits in one request

Qwen3 VL 235B A22B Instruct 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 Mini and Qwen3 VL 235B A22B Instruct
SpecificationOpenAI GPT-5 MiniQwen3 VL 235B A22B Instruct
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025September 23, 2025
Context window400K262K
Input $/Mtok$0.25$0.21
Output $/Mtok$2.00$1.90
Coding index34.2Not benchmarked
Independent measurements behind it20
Cost per solved task$0.08Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Mini better than Qwen3 VL 235B A22B Instruct for coding?

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Qwen3 VL 235B A22B Instruct has none, so the two cannot be ranked on coding. Pick Qwen3 VL 235B A22B Instruct for output tokens 1.1x cheaper ($1.90 vs $2.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5 Mini or Qwen3 VL 235B A22B Instruct?

GPT-5 Mini costs $0.25 per million input tokens and $2.00 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, GPT-5 Mini or Qwen3 VL 235B A22B Instruct?

GPT-5 Mini, with 400K tokens against 262K.

How many benchmarks is the GPT-5 Mini vs Qwen3 VL 235B A22B Instruct comparison based on?

49 benchmarks have a result for both models as of October 22, 2026. GPT-5 Mini's coding index rests on 2 independent benchmarks and Qwen3 VL 235B A22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next