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GPT-5.4 Mini vs Qwen3.6 27B

Qwen3.6 27B leads GPT-5.4 Mini on coding, 36.8 to 35.8 on the Vibe Coding Index, and Qwen3.6 27B costs 1.7x less per output token ($2.70 vs $4.50 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Replace GPT-5.4 Mini Replace Qwen3.6 27B
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
16
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
8
vs boards won of 24 shared

GPT-5.4 Mini or Qwen3.6 27B: which to pick

GPT-5.4 Mini and Qwen3.6 27B are level for coding, 35.8 against 36.8 on the Vibe Coding Index, so price and context decide.

Pick GPT-5.4 Mini for a lower cost per solved task ($0.70 against $1.30) and a larger context window (400K against 262K tokens). Pick Qwen3.6 27B for output tokens 1.7x cheaper ($2.70 vs $4.50 per million) and work measured by AA Agentic Index or τ²-Bench Telecom, where it leads.

Model AGPT-5.4 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved taskModel BQwen3.6 27BQwen36.8/1002 independent benchmarks$1.30 per solved task
Shared results
24
GPT-5.4 Mini only
65
Qwen3.6 27B 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-5.4 Mini 35.8 from 5 benchmarks, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 13.6 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GPT-5.4 Mini 48.0% against Qwen3.6 27B 11.9%, 36.0 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Mini $4.50 against Qwen3.6 27B $2.70 per million output tokens, 1.7x apart.
Context window
GPT-5.4 Mini takes 400K tokens, Qwen3.6 27B 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 MiniBarsQwen3.6 27BTies
Coding50
Intelligence20
Agentic work02
Reasoning40
Math11
Knowledge04
General41
All shared boards168
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
LMArena WebDev1397Not measuredOnly GPT-5.4 Mini measured
AA Coding Index56.153.7GPT-5.4 Mini
LiveCodeBench (Vals AI)81.5%Not measuredOnly GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)73.0%70.0%GPT-5.4 Mini
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)48.0%11.9%GPT-5.4 Mini
Code migration (Vals AI)12.9%Not measuredOnly GPT-5.4 Mini measured
ProgramBench (Vals AI)0.0%Not measuredOnly GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)54.7%Not measuredOnly GPT-5.4 Mini measured
SciCode52.1%42.8%GPT-5.4 Mini
Terminal-Bench Hard (Artificial Analysis run)52.3%34.8%GPT-5.4 Mini
FrontierCode27.0%Not measuredOnly GPT-5.4 Mini measured
WeirdML60.3%Not measuredOnly GPT-5.4 Mini measured
ALE-Bench1188.6Not measuredOnly GPT-5.4 Mini measured
LMArena Text: coding1438Not measuredOnly GPT-5.4 Mini measured
LMArena Text: software and IT1436Not measuredOnly GPT-5.4 Mini measured
LMArena WebDev: React1386Not measuredOnly GPT-5.4 Mini measured
LMArena WebDev: HTML1419Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
AA Intelligence Index24.121.4GPT-5.4 Mini
Epoch Capabilities Index148.7146.2GPT-5.4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
AA Agentic Index17.918.5Qwen3.6 27B
Finance Agent (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)8.8%Not measuredOnly GPT-5.4 Mini measured
Legal Research Bench (Vals AI)12.5%Not measuredOnly GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)45.4%Not measuredOnly GPT-5.4 Mini measured
τ²-Bench Telecom83.3%94.2%Qwen3.6 27B
DeepResearch Bench36.3%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
GPQA Diamond83.1%Not measuredOnly GPT-5.4 Mini measured
MMMU Pro (Vals AI)79.3%Not measuredOnly GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)87.5%84.2%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)28.1%23.1%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)86.9%85.9%GPT-5.4 Mini
ARC-AGI63.7%Not measuredOnly GPT-5.4 Mini measured
ARC-AGI-218.9%Not measuredOnly GPT-5.4 Mini measured
Chess puzzles23.0%Not measuredOnly GPT-5.4 Mini measured
Mystery game puzzles11.0%7.0%GPT-5.4 Mini
LMArena Text: hard prompts1424Not measuredOnly GPT-5.4 Mini measured
LMArena Text: expert1435Not measuredOnly GPT-5.4 Mini measured
LMArena Text: hard prompts in English1420Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: diagrams1266Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: homework1285Not measuredOnly GPT-5.4 Mini measured
Kagi LLM Benchmark37.9%Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
AIME95.6%Not measuredOnly GPT-5.4 Mini measured
OTIS Mock AIME88.9%91.1%Qwen3.6 27B
FrontierMath, tiers 1 to 351.2%35.1%GPT-5.4 Mini
FrontierMath, tier 49.8%Not measuredOnly GPT-5.4 Mini measured
ProofBench21.0%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: math1418Not measuredOnly GPT-5.4 Mini measured
LMArena Text: mathematical work1429Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
MMLU Pro84.5%Not measuredOnly GPT-5.4 Mini measured
CaseLaw (Vals AI)51.7%53.2%Qwen3.6 27B
CorpFin (Vals AI)60.9%62.3%Qwen3.6 27B
TaxEval (Vals AI)71.2%71.3%Qwen3.6 27B
MortgageTax (Vals AI)63.5%68.3%Qwen3.6 27B
SimpleQA Verified29.4%Not measuredOnly GPT-5.4 Mini measured
LMArena Text: science1417Not measuredOnly GPT-5.4 Mini measured
LMArena Text: medicine and healthcare1395Not measuredOnly GPT-5.4 Mini measured
LMArena Text: legal and government1414Not measuredOnly GPT-5.4 Mini measured
LMArena Text: business and finance1418Not measuredOnly GPT-5.4 Mini measured
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index41
General benchmarks for GPT-5.4 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
SAGE (Vals AI)50.8%45.6%GPT-5.4 Mini
Vals Multimodal Index54.2%Not measuredOnly GPT-5.4 Mini measured
IFBench73.3%67.6%GPT-5.4 Mini
Long context reasoning (AA-LCR)77.0%77.3%Qwen3.6 27B
DTBench80.0%78.1%GPT-5.4 Mini
LMCA40.8%34.5%GPT-5.4 Mini
LMArena Text1412Not measuredOnly GPT-5.4 Mini measured
LMArena Text: instruction following1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: creative writing1370Not measuredOnly GPT-5.4 Mini measured
LMArena Vision1245Not measuredOnly GPT-5.4 Mini measured
LMArena Text: English1412Not measuredOnly GPT-5.4 Mini measured
LMArena Text: non-English1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Chinese1446Not measuredOnly GPT-5.4 Mini measured
LMArena Text: German1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Japanese1375Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Korean1370Not measuredOnly GPT-5.4 Mini measured
LMArena Text: French1441Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Spanish1405Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Russian1417Not measuredOnly GPT-5.4 Mini measured
LMArena Text: Polish1415Not measuredOnly GPT-5.4 Mini measured
LMArena Text: multi-turn1429Not measuredOnly GPT-5.4 Mini measured
LMArena Text: longer queries1408Not measuredOnly GPT-5.4 Mini measured
LMArena Text: writing and language1393Not measuredOnly GPT-5.4 Mini measured
LMArena Text: entertainment and media1373Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: English1244Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: Chinese1286Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: reading text1253Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: humor1235Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: recognizing things1218Not measuredOnly GPT-5.4 Mini measured
LMArena Vision: creative writing1222Not measuredOnly GPT-5.4 Mini measured
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 Mini and Qwen3.6 27B
BenchmarkGPT-5.4 MiniQwen3.6 27BLeader
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 Mini$0.0030Fits in one request
Qwen3.6 27B$0.0018Fits in one request

Qwen3.6 27B costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Mini$0.051Fits in one request
Qwen3.6 27B$0.031Fits in one request

Qwen3.6 27B costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Mini$0.195Fits in one request
Qwen3.6 27B$0.117Fits in one request

Qwen3.6 27B 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 Mini and Qwen3.6 27B
SpecificationOpenAI GPT-5.4 MiniQwen3.6 27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026April 27, 2026
Context window400K262K
Input $/Mtok$0.75$0.45
Output $/Mtok$4.50$2.70
Coding index35.836.8
Independent measurements behind it52
Cost per solved task$0.70$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Mini better than Qwen3.6 27B for coding?

GPT-5.4 Mini and Qwen3.6 27B are level for coding, 35.8 against 36.8 on the Vibe Coding Index, so price and context decide. Pick GPT-5.4 Mini for a lower cost per solved task ($0.70 against $1.30) and a larger context window (400K against 262K tokens). Pick Qwen3.6 27B for output tokens 1.7x cheaper ($2.70 vs $4.50 per million) and work measured by AA Agentic Index or τ²-Bench Telecom, where it leads.

Which is cheaper, GPT-5.4 Mini or Qwen3.6 27B?

GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Qwen3.6 27B $1.30.

Which has the bigger context window, GPT-5.4 Mini or Qwen3.6 27B?

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

How many benchmarks is the GPT-5.4 Mini vs Qwen3.6 27B comparison based on?

24 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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