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GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct

GPT-5.4 Nano leads Qwen3 VL 235B A22B Instruct on the Artificial Analysis Intelligence Index, 20.7 to 9.9, and GPT-5.4 Nano costs 1.5x less per output token ($1.25 vs $1.90 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3 VL 235B A22B Instruct
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
7
Qwen3 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
37
vs boards won of 44 shared

GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 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 work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BQwen3 VL 235B A22B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
44
GPT-5.4 Nano only
41
Qwen3 VL 235B A22B Instruct 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-5.4 Nano 44.8 from 2 benchmarks, Qwen3 VL 235B A22B Instruct not benchmarked.
Widest category
Agentic work, 21.9 points apart on average over 1 shared benchmark.
Widest single gap
Terminal-Bench Hard (Artificial Analysis run): GPT-5.4 Nano 42.4% against Qwen3 VL 235B A22B Instruct 11.4%, 31.1 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 1.5x apart.
Context window
GPT-5.4 Nano 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-5.4 NanoBarsQwen3 VL 235B A22B InstructTies
Coding12
Intelligence10
Agentic work10
Reasoning25
Math02
Knowledge04
General224
All shared boards737
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
AA Coding Index56.1Not measuredOnly GPT-5.4 Nano measured
LiveCodeBench (Vals AI)84.0%Not measuredOnly GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)26.1%Not measuredOnly GPT-5.4 Nano measured
Code migration (Vals AI)14.5%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)41.6%Not measuredOnly GPT-5.4 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured64.6%Only Qwen3 VL 235B A22B Instruct measured
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%11.4%GPT-5.4 Nano
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding14041438Qwen3 VL 235B A22B Instruct
LMArena Text: software and IT14021442Qwen3 VL 235B A22B Instruct
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-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
AA Intelligence Index20.79.9GPT-5.4 Nano
Epoch Capabilities Index146.0Not measuredOnly GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
AA Agentic Index16.0Not measuredOnly GPT-5.4 Nano measured
Finance Agent (Vals AI)38.2%Not measuredOnly GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)5.0%Not measuredOnly GPT-5.4 Nano measured
Legal Research Bench (Vals AI)6.3%Not measuredOnly GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)44.8%Not measuredOnly GPT-5.4 Nano measured
τ²-Bench Telecom76.0%54.1%GPT-5.4 Nano
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
GPQA Diamond77.5%Not measuredOnly GPT-5.4 Nano measured
MMMU Pro (Vals AI)73.6%Not measuredOnly GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)81.7%77.2%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)28.3%11.9%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%Not measuredOnly GPT-5.4 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811428Qwen3 VL 235B A22B Instruct
LMArena Text: expert13961442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English13871439Qwen3 VL 235B A22B Instruct
LMArena Vision: diagrams12101255Qwen3 VL 235B A22B Instruct
LMArena Vision: homework12251277Qwen3 VL 235B A22B Instruct
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
AA Math IndexNot measured88.3Only Qwen3 VL 235B A22B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured88.3%Only Qwen3 VL 235B A22B Instruct measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: math14051425Qwen3 VL 235B A22B Instruct
LMArena Text: mathematical work14091419Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
MMLU Pro77.2%Not measuredOnly GPT-5.4 Nano measured
LegalBench (Vals AI)77.9%Not measuredOnly GPT-5.4 Nano measured
CaseLaw (Vals AI)51.9%Not measuredOnly GPT-5.4 Nano measured
CorpFin (Vals AI)61.2%Not measuredOnly GPT-5.4 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5.4 Nano measured
MortgageTax (Vals AI)59.1%Not measuredOnly GPT-5.4 Nano measured
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
MMLU Pro (Artificial Analysis run)Not measured83.6%Only Qwen3 VL 235B A22B Instruct measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741444Qwen3 VL 235B A22B Instruct
LMArena Text: medicine and healthcare13691431Qwen3 VL 235B A22B Instruct
LMArena Text: legal and government13681438Qwen3 VL 235B A22B Instruct
LMArena Text: business and finance13661433Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index224
General benchmarks for GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 VL 235B A22B InstructLeader
SAGE (Vals AI)38.1%Not measuredOnly GPT-5.4 Nano measured
MedScribe (Vals AI)77.1%Not measuredOnly GPT-5.4 Nano measured
Vals Multimodal Index47.6%Not measuredOnly GPT-5.4 Nano measured
IFBench75.9%56.5%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%63.7%GPT-5.4 Nano
DTBench80.3%Not measuredOnly GPT-5.4 Nano measured
LMCA36.9%Not measuredOnly GPT-5.4 Nano measured
LMArena Text13721420Qwen3 VL 235B A22B Instruct
LMArena Text: instruction following13621406Qwen3 VL 235B A22B Instruct
LMArena Text: creative writing13151366Qwen3 VL 235B A22B Instruct
LMArena Vision11961247Qwen3 VL 235B A22B Instruct
LMArena Text: English13811429Qwen3 VL 235B A22B Instruct
LMArena Text: non-English13591405Qwen3 VL 235B A22B Instruct
LMArena Text: Chinese13911463Qwen3 VL 235B A22B Instruct
LMArena Text: German13681424Qwen3 VL 235B A22B Instruct
LMArena Text: Japanese13431385Qwen3 VL 235B A22B Instruct
LMArena Text: Korean13211394Qwen3 VL 235B A22B Instruct
LMArena Text: French13951452Qwen3 VL 235B A22B Instruct
LMArena Text: Spanish13711428Qwen3 VL 235B A22B Instruct
LMArena Text: Russian13631408Qwen3 VL 235B A22B Instruct
LMArena Text: Polish13661419Qwen3 VL 235B A22B Instruct
LMArena Text: multi-turn13821428Qwen3 VL 235B A22B Instruct
LMArena Text: longer queries13651419Qwen3 VL 235B A22B Instruct
LMArena Text: writing and language13381392Qwen3 VL 235B A22B Instruct
LMArena Text: entertainment and media13251368Qwen3 VL 235B A22B Instruct
LMArena Vision: English12021256Qwen3 VL 235B A22B Instruct
LMArena Vision: Chinese12321283Qwen3 VL 235B A22B Instruct
LMArena Vision: reading text12041253Qwen3 VL 235B A22B Instruct
LMArena Vision: humor11611209Qwen3 VL 235B A22B Instruct
LMArena Vision: captioningNot measured1281Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: recognizing things11411249Qwen3 VL 235B A22B Instruct
LMArena Vision: creative writing11591220Qwen3 VL 235B A22B Instruct
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-5.4 Nano and Qwen3 VL 235B A22B Instruct
BenchmarkGPT-5.4 NanoQwen3 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-5.4 Nano$0.0008Fits in one request
Qwen3 VL 235B A22B Instruct$0.0012Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Qwen3 VL 235B A22B Instruct$0.016Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Qwen3 VL 235B A22B Instruct$0.061Fits in one request

GPT-5.4 Nano 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-5.4 Nano and Qwen3 VL 235B A22B Instruct
SpecificationOpenAI GPT-5.4 NanoQwen3 VL 235B A22B Instruct
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026September 23, 2025
Context window400K262K
Input $/Mtok$0.20$0.21
Output $/Mtok$1.25$1.90
Coding index44.8Not benchmarked
Independent measurements behind it20
Cost per solved task$0.14Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen3 VL 235B A22B Instruct for coding?

Only GPT-5.4 Nano has a coding score, 44.8 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 work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct?

GPT-5.4 Nano, with 400K tokens against 262K.

How many benchmarks is the GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct comparison based on?

44 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Nano'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.

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