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GPT-5.4 Nano vs Qwen3.6 Plus

GPT-5.4 Nano leads Qwen3.6 Plus on coding, 44.8 to 44.1 on the Vibe Coding Index, and GPT-5.4 Nano costs 1.6x less per output token ($1.25 vs $1.95 per million). Updated October 22, 2026; 68 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3.6 Plus
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
13
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
55
vs boards won of 68 shared

GPT-5.4 Nano or Qwen3.6 Plus: which to pick

GPT-5.4 Nano and Qwen3.6 Plus are level for coding, 44.8 against 44.1 on the Vibe Coding Index, so price and context decide.

Pick Qwen3.6 Plus for a larger context window (1M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads. Pick GPT-5.4 Nano for output tokens 1.6x cheaper ($1.25 vs $1.95 per million) and a lower cost per solved task ($0.14 against $1.19).

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
68
GPT-5.4 Nano only
17
Qwen3.6 Plus only
15
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, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Reasoning, 10.4 points apart on average over 10 shared benchmarks.
Widest single gap
SimpleQA Verified: GPT-5.4 Nano 11.7% against Qwen3.6 Plus 44.1%, 32.4 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3.6 Plus $1.95 per million output tokens, 1.6x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3.6 Plus 1M.

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 NanoBarsQwen3.6 PlusTies
Coding46
Intelligence02
Agentic work14
Reasoning28
Math14
Knowledge210
General321
All shared boards1355
CodingLike-for-likeSix of these boards feed the Vibe Coding Index46
Coding benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
LMArena WebDevNot measured1461Only Qwen3.6 Plus measured
AA Coding Index56.154.5GPT-5.4 Nano
LiveCodeBench (Vals AI)84.0%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)69.8%73.4%Qwen3.6 Plus
Vibe Code Bench (Vals AI)26.1%25.6%GPT-5.4 Nano
Code migration (Vals AI)14.5%11.1%GPT-5.4 Nano
ProgramBench (Vals AI)Not measured0.0%Only Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)41.6%53.2%Qwen3.6 Plus
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%43.9%Qwen3.6 Plus
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5670.1GPT-5.4 Nano
LMArena Text: coding14041467Qwen3.6 Plus
LMArena Text: software and IT14021462Qwen3.6 Plus
LMArena WebDev: ReactNot measured1454Only Qwen3.6 Plus measured
LMArena WebDev: HTMLNot measured1463Only Qwen3.6 Plus measured
LMArena WebDev: from an imageNot measured1472Only Qwen3.6 Plus measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
AA Intelligence Index20.727.0Qwen3.6 Plus
Epoch Capabilities Index146.0147.3Qwen3.6 Plus
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
AA Agentic Index16.0Not measuredOnly GPT-5.4 Nano measured
Finance Agent (Vals AI)38.2%40.9%Qwen3.6 Plus
Tax Agent Bench (Vals AI)5.0%7.7%Qwen3.6 Plus
Legal Research Bench (Vals AI)6.3%14.9%Qwen3.6 Plus
Excel Modeling Benchmark (Vals AI)44.8%32.9%GPT-5.4 Nano
τ²-Bench Telecom76.0%97.7%Qwen3.6 Plus
Vending-Bench 2Not measured$5,115Only Qwen3.6 Plus measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index28
Reasoning benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
GPQA Diamond77.5%87.4%Qwen3.6 Plus
MMMU Pro (Vals AI)73.6%84.2%Qwen3.6 Plus
GPQA Diamond (Artificial Analysis run)81.7%88.2%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)28.3%27.8%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%88.4%Qwen3.6 Plus
ARC-AGI51.5%Not measuredOnly GPT-5.4 Nano measured
ARC-AGI-25.7%Not measuredOnly GPT-5.4 Nano measured
Chess puzzles45.0%14.0%GPT-5.4 Nano
Mystery game puzzles9.0%12.0%Qwen3.6 Plus
LMArena Text: hard prompts13811448Qwen3.6 Plus
LMArena Text: expert13961454Qwen3.6 Plus
LMArena Text: hard prompts in English13871455Qwen3.6 Plus
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Kagi LLM Benchmark39.7%Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
AIME88.8%94.6%Qwen3.6 Plus
OTIS Mock AIME87.8%93.3%Qwen3.6 Plus
FrontierMath, tiers 1 to 344.9%38.2%GPT-5.4 Nano
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: math14051449Qwen3.6 Plus
LMArena Text: mathematical work14091448Qwen3.6 Plus
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index210
Knowledge benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
MMLU Pro77.2%87.7%Qwen3.6 Plus
LegalBench (Vals AI)77.9%84.2%Qwen3.6 Plus
CaseLaw (Vals AI)51.9%51.5%GPT-5.4 Nano
CorpFin (Vals AI)61.2%61.9%Qwen3.6 Plus
TaxEval (Vals AI)67.4%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)59.1%68.0%Qwen3.6 Plus
MedCode (Vals AI)41.0%36.9%GPT-5.4 Nano
SimpleQA Verified11.7%44.1%Qwen3.6 Plus
LMArena Text: science13741439Qwen3.6 Plus
LMArena Text: medicine and healthcare13691442Qwen3.6 Plus
LMArena Text: legal and government13681437Qwen3.6 Plus
LMArena Text: business and finance13661430Qwen3.6 Plus
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
Design Arena: websitesNot measured1243Only Qwen3.6 Plus measured
Design Arena: UI componentsNot measured1230Only Qwen3.6 Plus measured
Design Arena: game devNot measured1211Only Qwen3.6 Plus measured
Design Arena: data vizNot measured1228Only Qwen3.6 Plus measured
Design Arena: 3DNot measured1202Only Qwen3.6 Plus measured
Design Arena: all code categoriesNot measured1236Only Qwen3.6 Plus measured
Design Arena: SVGNot measured1161Only Qwen3.6 Plus measured
Design Arena: ASCII artNot measured1113Only Qwen3.6 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index321
General benchmarks for GPT-5.4 Nano and Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
SAGE (Vals AI)38.1%44.9%Qwen3.6 Plus
MedScribe (Vals AI)77.1%77.0%GPT-5.4 Nano
Vals Multimodal Index47.6%51.5%Qwen3.6 Plus
IFBench75.9%75.2%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%78.3%Qwen3.6 Plus
DTBench80.3%81.9%Qwen3.6 Plus
LMCA36.9%33.1%GPT-5.4 Nano
CL-benchNot measured20.3%Only Qwen3.6 Plus measured
LMArena Text13721436Qwen3.6 Plus
LMArena Text: instruction following13621424Qwen3.6 Plus
LMArena Text: creative writing13151404Qwen3.6 Plus
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811445Qwen3.6 Plus
LMArena Text: non-English13591424Qwen3.6 Plus
LMArena Text: Chinese13911477Qwen3.6 Plus
LMArena Text: German13681451Qwen3.6 Plus
LMArena Text: Japanese13431390Qwen3.6 Plus
LMArena Text: Korean13211379Qwen3.6 Plus
LMArena Text: French13951455Qwen3.6 Plus
LMArena Text: Spanish13711432Qwen3.6 Plus
LMArena Text: Russian13631434Qwen3.6 Plus
LMArena Text: Polish13661433Qwen3.6 Plus
LMArena Text: multi-turn13821438Qwen3.6 Plus
LMArena Text: longer queries13651439Qwen3.6 Plus
LMArena Text: writing and language13381418Qwen3.6 Plus
LMArena Text: entertainment and media13251402Qwen3.6 Plus
LMArena Vision: English1202Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: Chinese1232Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: reading text1204Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: humor1161Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: recognizing things1141Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: creative writing1159Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 14 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 Qwen3.6 Plus
BenchmarkGPT-5.4 NanoQwen3.6 PlusLeader
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
Qwen3.6 Plus$0.0013Fits 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
Qwen3.6 Plus$0.022Fits 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
Qwen3.6 Plus$0.085Fits 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 Qwen3.6 Plus
SpecificationOpenAI GPT-5.4 NanoQwen3.6 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 17, 2026April 2, 2026
Context window400K1M
Input $/Mtok$0.20$0.325
Output $/Mtok$1.25$1.95
Coding index44.844.1
Independent measurements behind it23
Cost per solved task$0.14$1.19
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen3.6 Plus for coding?

GPT-5.4 Nano and Qwen3.6 Plus are level for coding, 44.8 against 44.1 on the Vibe Coding Index, so price and context decide. Pick Qwen3.6 Plus for a larger context window (1M against 400K tokens) and work measured by LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads. Pick GPT-5.4 Nano for output tokens 1.6x cheaper ($1.25 vs $1.95 per million) and a lower cost per solved task ($0.14 against $1.19).

Which is cheaper, GPT-5.4 Nano or Qwen3.6 Plus?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Qwen3.6 Plus $1.19.

Which has the bigger context window, GPT-5.4 Nano or Qwen3.6 Plus?

Qwen3.6 Plus, with 1M tokens against 400K.

How many benchmarks is the GPT-5.4 Nano vs Qwen3.6 Plus comparison based on?

68 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 Qwen3.6 Plus's on 3. Where only one model has a result, the page says so instead of naming a winner.

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