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GPT-5.4 vs Qwen3.6 Plus

GPT-5.4 leads Qwen3.6 Plus on coding, 64.4 to 44.1 on the Vibe Coding Index, and Qwen3.6 Plus costs 7.7x less per output token ($1.95 vs $15.00 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

Replace GPT-5.4 Replace Qwen3.6 Plus
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
62
Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
15
vs boards won of 77 shared

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

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus.

Pick Qwen3.6 Plus for output tokens 7.7x cheaper ($1.95 vs $15.00 per million) and work measured by LiveCodeBench (Vals AI) or LMArena WebDev: React, where it leads.

Model AGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved taskModel BQwen3.6 PlusQwen44.1/1003 independent benchmarks$1.19 per solved task
Shared results
77
GPT-5.4 only
33
Qwen3.6 Plus only
6
Like-for-like categories
8 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 64.4 from 3 benchmarks, Qwen3.6 Plus 44.1 from 3 benchmarks.
Widest category
Math, 12.3 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 67.4% against Qwen3.6 Plus 25.6%, 41.9 points apart on a 0 to 100 scale.
Output price
GPT-5.4 $15.00 against Qwen3.6 Plus $1.95 per million output tokens, 7.7x apart.
Context window
GPT-5.4 takes 1.05M 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-5.4BarsQwen3.6 PlusTies
Coding113
Intelligence20
Agentic work11
Reasoning100
Math50
Knowledge102
Web design17
General222
All shared boards6215
CodingLike-for-likeSix of these boards feed the Vibe Coding Index113
Coding benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
LMArena WebDev14641461GPT-5.4
AA Coding Index71.154.5GPT-5.4
LiveCodeBench (Vals AI)84.1%86.0%Qwen3.6 Plus
SWE-bench Verified (Vals AI)78.2%73.4%GPT-5.4
Vibe Code Bench (Vals AI)67.4%25.6%GPT-5.4
Code migration (Vals AI)35.0%11.1%GPT-5.4
ProgramBench (Vals AI)0.5%0.0%GPT-5.4
Terminal-Bench 2.1 (Vals AI)Not measured53.2%Only Qwen3.6 Plus measured
SkillsBench (Vals AI)51.7%Not measuredOnly GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)57.6%43.9%GPT-5.4
Terminal-Bench81.8%Not measuredOnly GPT-5.4 measured
GSO-Bench31.4%Not measuredOnly GPT-5.4 measured
WeirdML77.7%Not measuredOnly GPT-5.4 measured
MirrorCode15.6%Not measuredOnly GPT-5.4 measured
ALE-Bench1607.0670.1GPT-5.4
LMArena Text: coding14961467GPT-5.4
LMArena Text: software and IT14911462GPT-5.4
LMArena WebDev: React14541454Qwen3.6 Plus
LMArena WebDev: HTML14781463GPT-5.4
LMArena WebDev: from an image14361472Qwen3.6 Plus
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
AA Intelligence Index39.027.0GPT-5.4
Epoch Capabilities Index157.3147.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
Design Arena: agents building web apps1059Not measuredOnly GPT-5.4 measured
Design Arena: agents building full-stack apps1017Not measuredOnly GPT-5.4 measured
Design Arena: agents building mobile apps1087Not measuredOnly GPT-5.4 measured
Design Arena: agents building Android apps1031Not measuredOnly GPT-5.4 measured
Design Arena: agents building Godot games1135Not measuredOnly GPT-5.4 measured
Finance Agent (Vals AI)Not measured40.9%Only Qwen3.6 Plus measured
Tax Agent Bench (Vals AI)Not measured7.7%Only Qwen3.6 Plus measured
Legal Research Bench (Vals AI)Not measured14.9%Only Qwen3.6 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured32.9%Only Qwen3.6 Plus measured
τ²-Bench Telecom87.1%97.7%Qwen3.6 Plus
APEX-Agents52.4%Not measuredOnly GPT-5.4 measured
METR time horizons74.3%Not measuredOnly GPT-5.4 measured
DeepResearch Bench35.1%Not measuredOnly GPT-5.4 measured
PostTrainBench19.0%Not measuredOnly GPT-5.4 measured
Vending-Bench 2$6,144$5,115GPT-5.4
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
GPQA Diamond91.7%87.4%GPT-5.4
MMMU Pro (Vals AI)87.5%84.2%GPT-5.4
GPQA Diamond (Artificial Analysis run)92.0%88.2%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)43.7%27.8%GPT-5.4
GPQA Diamond (Epoch AI run)93.3%88.4%GPT-5.4
ARC-AGI93.7%Not measuredOnly GPT-5.4 measured
ARC-AGI-274.0%Not measuredOnly GPT-5.4 measured
Chess puzzles48.0%14.0%GPT-5.4
Mystery game puzzles37.0%12.0%GPT-5.4
EBR-bench25.4%Not measuredOnly GPT-5.4 measured
LMArena Text: hard prompts14851448GPT-5.4
LMArena Text: expert15071454GPT-5.4
LMArena Text: hard prompts in English14791455GPT-5.4
LMArena Vision: diagrams1327Not measuredOnly GPT-5.4 measured
LMArena Vision: homework1336Not measuredOnly GPT-5.4 measured
Kagi LLM Benchmark63.8%Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
AIME96.7%94.6%GPT-5.4
OTIS Mock AIME97.8%93.3%GPT-5.4
FrontierMath, tiers 1 to 378.6%38.2%GPT-5.4
FrontierMath, tier 449.0%Not measuredOnly GPT-5.4 measured
ProofBench56.0%Not measuredOnly GPT-5.4 measured
LMArena Text: math14881449GPT-5.4
LMArena Text: mathematical work14971448GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
Knowledge benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
MMLU Pro87.5%87.7%Qwen3.6 Plus
LegalBench (Vals AI)86.0%84.2%GPT-5.4
CaseLaw (Vals AI)63.8%51.5%GPT-5.4
CorpFin (Vals AI)65.3%61.9%GPT-5.4
TaxEval (Vals AI)74.0%74.7%Qwen3.6 Plus
MortgageTax (Vals AI)68.3%68.0%GPT-5.4
MedQA (Vals AI)96.1%Not measuredOnly GPT-5.4 measured
MedCode (Vals AI)41.3%36.9%GPT-5.4
SimpleQA Verified45.1%44.1%GPT-5.4
LMArena Text: science14791439GPT-5.4
LMArena Text: medicine and healthcare14581442GPT-5.4
LMArena Text: legal and government14861437GPT-5.4
LMArena Text: business and finance14741430GPT-5.4
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
Design Arena: websites11981243Qwen3.6 Plus
Design Arena: UI components12121230Qwen3.6 Plus
Design Arena: game dev11941211Qwen3.6 Plus
Design Arena: data viz11961228Qwen3.6 Plus
Design Arena: 3D10651202Qwen3.6 Plus
Design Arena: all code categories11791236Qwen3.6 Plus
Design Arena: SVG11411161Qwen3.6 Plus
Design Arena: ASCII art11881113GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
General benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 PlusLeader
SAGE (Vals AI)43.3%44.9%Qwen3.6 Plus
MedScribe (Vals AI)77.5%77.0%GPT-5.4
Vals Multimodal IndexNot measured51.5%Only Qwen3.6 Plus measured
IFBench73.9%75.2%Qwen3.6 Plus
Long context reasoning (AA-LCR)82.0%78.3%GPT-5.4
DTBench94.4%81.9%GPT-5.4
LMCA52.0%33.1%GPT-5.4
CL-bench27.9%20.3%GPT-5.4
Furniture assembly37.5%Not measuredOnly GPT-5.4 measured
CL-bench Life21.7%Not measuredOnly GPT-5.4 measured
LMArena Text14691436GPT-5.4
LMArena Text: instruction following14691424GPT-5.4
LMArena Text: creative writing14391404GPT-5.4
LMArena Vision1303Not measuredOnly GPT-5.4 measured
LMArena Text: English14671445GPT-5.4
LMArena Text: non-English14651424GPT-5.4
LMArena Text: Chinese15201477GPT-5.4
LMArena Text: German14721451GPT-5.4
LMArena Text: Japanese14851390GPT-5.4
LMArena Text: Korean14491379GPT-5.4
LMArena Text: French14931455GPT-5.4
LMArena Text: Spanish14521432GPT-5.4
LMArena Text: Russian14801434GPT-5.4
LMArena Text: Polish14721433GPT-5.4
LMArena Text: multi-turn14821438GPT-5.4
LMArena Text: longer queries14731439GPT-5.4
LMArena Text: writing and language14581418GPT-5.4
LMArena Text: entertainment and media14381402GPT-5.4
LMArena Vision: English1301Not measuredOnly GPT-5.4 measured
LMArena Vision: Chinese1354Not measuredOnly GPT-5.4 measured
LMArena Vision: reading text1312Not measuredOnly GPT-5.4 measured
LMArena Vision: humor1284Not measuredOnly GPT-5.4 measured
LMArena Vision: recognizing things1251Not measuredOnly GPT-5.4 measured
LMArena Vision: creative writing1283Not measuredOnly GPT-5.4 measured
LMArena Document1471Not measuredOnly GPT-5.4 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.4 and Qwen3.6 Plus
BenchmarkGPT-5.4Qwen3.6 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$0.010Fits in one request
Qwen3.6 Plus$0.0013Fits in one request

Qwen3.6 Plus costs less

Repository review

50K input + 3K output tokens

GPT-5.4$0.170Fits in one request
Qwen3.6 Plus$0.022Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

GPT-5.4$0.650Fits in one request
Qwen3.6 Plus$0.085Fits in one request

Qwen3.6 Plus 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 and Qwen3.6 Plus
SpecificationOpenAI GPT-5.4Qwen3.6 Plus
MakerOpenAIQwen
WeightsNo public weights listedNo public weights listed
ReleasedMarch 5, 2026April 2, 2026
Context window1.05M1M
Input $/Mtok$2.50$0.325
Output $/Mtok$15.00$1.95
Coding index64.444.1
Independent measurements behind it33
Cost per solved task$1.02$1.19
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 44.1 for Qwen3.6 Plus. Pick Qwen3.6 Plus for output tokens 7.7x cheaper ($1.95 vs $15.00 per million) and work measured by LiveCodeBench (Vals AI) or LMArena WebDev: React, where it leads.

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

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Per solved SWE-bench Verified task, GPT-5.4 costs $1.02 and Qwen3.6 Plus $1.19.

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

GPT-5.4, with 1.05M tokens against 1M.

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

77 benchmarks have a result for both models as of October 22, 2026. GPT-5.4's coding index rests on 3 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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