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GPT-5.4 Nano vs Qwen3.6 27B

GPT-5.4 Nano leads Qwen3.6 27B on coding, 44.8 to 36.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 2.2x less per output token ($1.25 vs $2.70 per million). Updated October 22, 2026; 24 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3.6 27B
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
10
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
14
vs boards won of 24 shared

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for work measured by SWE-bench Verified (Vals AI) or AA Intelligence Index, where it leads.

Model AGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved taskModel BQwen3.6 27BQwen36.8/1002 independent benchmarks$1.30 per solved task
Shared results
24
GPT-5.4 Nano only
61
Qwen3.6 27B only
1
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 27B 36.8 from 2 benchmarks.
Widest category
Agentic work, 10.3 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: GPT-5.4 Nano 76.0% against Qwen3.6 27B 94.2%, 18.1 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3.6 27B $2.70 per million output tokens, 2.2x apart.
Context window
GPT-5.4 Nano 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 NanoBarsQwen3.6 27BTies
Coding41
Intelligence02
Agentic work02
Reasoning22
Math11
Knowledge04
General32
All shared boards1014
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
AA Coding Index56.153.7GPT-5.4 Nano
LiveCodeBench (Vals AI)84.0%Not measuredOnly GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)69.8%70.0%Qwen3.6 27B
Vibe Code Bench (Vals AI)26.1%11.9%GPT-5.4 Nano
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
SciCode47.2%42.8%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)42.4%34.8%GPT-5.4 Nano
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5Not measuredOnly GPT-5.4 Nano measured
LMArena Text: coding1404Not measuredOnly GPT-5.4 Nano measured
LMArena Text: software and IT1402Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
AA Intelligence Index20.721.4Qwen3.6 27B
Epoch Capabilities Index146.0146.2Qwen3.6 27B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
AA Agentic Index16.018.5Qwen3.6 27B
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%94.2%Qwen3.6 27B
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
Reasoning benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
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%84.2%Qwen3.6 27B
Humanity's Last Exam (Artificial Analysis run)28.3%23.1%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%85.9%Qwen3.6 27B
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%7.0%GPT-5.4 Nano
LMArena Text: hard prompts1381Not measuredOnly GPT-5.4 Nano measured
LMArena Text: expert1396Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts in English1387Not measuredOnly GPT-5.4 Nano measured
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 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%91.1%Qwen3.6 27B
FrontierMath, tiers 1 to 344.9%35.1%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: math1405Not measuredOnly GPT-5.4 Nano measured
LMArena Text: mathematical work1409Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
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%53.2%Qwen3.6 27B
CorpFin (Vals AI)61.2%62.3%Qwen3.6 27B
TaxEval (Vals AI)67.4%71.3%Qwen3.6 27B
MortgageTax (Vals AI)59.1%68.3%Qwen3.6 27B
MedCode (Vals AI)41.0%Not measuredOnly GPT-5.4 Nano measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science1374Not measuredOnly GPT-5.4 Nano measured
LMArena Text: medicine and healthcare1369Not measuredOnly GPT-5.4 Nano measured
LMArena Text: legal and government1368Not measuredOnly GPT-5.4 Nano measured
LMArena Text: business and finance1366Not measuredOnly GPT-5.4 Nano 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 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index32
General benchmarks for GPT-5.4 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 27BLeader
SAGE (Vals AI)38.1%45.6%Qwen3.6 27B
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%67.6%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%77.3%Qwen3.6 27B
DTBench80.3%78.1%GPT-5.4 Nano
LMCA36.9%34.5%GPT-5.4 Nano
LMArena Text1372Not measuredOnly GPT-5.4 Nano measured
LMArena Text: instruction following1362Not measuredOnly GPT-5.4 Nano measured
LMArena Text: creative writing1315Not measuredOnly GPT-5.4 Nano measured
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English1381Not measuredOnly GPT-5.4 Nano measured
LMArena Text: non-English1359Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Chinese1391Not measuredOnly GPT-5.4 Nano measured
LMArena Text: German1368Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Japanese1343Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Korean1321Not measuredOnly GPT-5.4 Nano measured
LMArena Text: French1395Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Spanish1371Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Russian1363Not measuredOnly GPT-5.4 Nano measured
LMArena Text: Polish1366Not measuredOnly GPT-5.4 Nano measured
LMArena Text: multi-turn1382Not measuredOnly GPT-5.4 Nano measured
LMArena Text: longer queries1365Not measuredOnly GPT-5.4 Nano measured
LMArena Text: writing and language1338Not measuredOnly GPT-5.4 Nano measured
LMArena Text: entertainment and media1325Not measuredOnly GPT-5.4 Nano measured
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
EQ-Bench 4Not measured1026Only Qwen3.6 27B 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 Nano and Qwen3.6 27B
BenchmarkGPT-5.4 NanoQwen3.6 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 Nano$0.0008Fits in one request
Qwen3.6 27B$0.0018Fits 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 27B$0.031Fits 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 27B$0.117Fits 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 27B
SpecificationOpenAI GPT-5.4 NanoQwen3.6 27B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026April 27, 2026
Context window400K262K
Input $/Mtok$0.20$0.45
Output $/Mtok$1.25$2.70
Coding index44.836.8
Independent measurements behind it22
Cost per solved task$0.14$1.30
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for work measured by SWE-bench Verified (Vals AI) or AA Intelligence Index, where it leads.

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

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, GPT-5.4 Nano costs $0.14 and Qwen3.6 27B $1.30.

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

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

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

24 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 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-4-nano-vs-qwen3-6-27b">LLMBenchmark.ai, GPT-5.4 Nano vs Qwen3.6 27B</a></p>