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GPT-5.4 Nano vs Qwen3.5 397B A17B

Qwen3.5 397B A17B leads GPT-5.4 Nano on the Artificial Analysis Intelligence Index, 21.4 to 20.7, and GPT-5.4 Nano costs 1.9x less per output token ($1.25 vs $2.34 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3.5 397B A17B
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
4
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
49
vs boards won of 53 shared

GPT-5.4 Nano or Qwen3.5 397B A17B: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B 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 BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
53
GPT-5.4 Nano only
32
Qwen3.5 397B A17B only
13
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, Qwen3.5 397B A17B not benchmarked.
Widest category
Agentic work, 19.6 points apart on average over 1 shared benchmark.
Widest single gap
LMArena Vision: recognizing things: GPT-5.4 Nano 1141 against Qwen3.5 397B A17B 1265, 20.7 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.9x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3.5 397B A17B 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 NanoBarsQwen3.5 397B A17BTies
Coding32
Intelligence02
Agentic work01
Reasoning09
Math13
Knowledge04
General028
All shared boards449
CodingLike-for-likeSix of these boards feed the Vibe Coding Index32
Coding benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
LMArena WebDevNot measured1400Only Qwen3.5 397B A17B measured
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
SciCode47.2%44.8%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)42.4%40.9%GPT-5.4 Nano
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5621.9GPT-5.4 Nano
LMArena Text: coding14041464Qwen3.5 397B A17B
LMArena Text: software and IT14021463Qwen3.5 397B A17B
LMArena WebDev: ReactNot measured1388Only Qwen3.5 397B A17B measured
LMArena WebDev: HTMLNot measured1410Only Qwen3.5 397B A17B measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
AA Intelligence Index20.721.4Qwen3.5 397B A17B
Epoch Capabilities Index146.0146.8Qwen3.5 397B A17B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
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%95.6%Qwen3.5 397B A17B
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
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%89.3%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)28.3%29.0%Qwen3.5 397B A17B
GPQA Diamond (Epoch AI run)78.5%86.4%Qwen3.5 397B A17B
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%18.0%Qwen3.5 397B A17B
LMArena Text: hard prompts13811448Qwen3.5 397B A17B
LMArena Text: expert13961462Qwen3.5 397B A17B
LMArena Text: hard prompts in English13871450Qwen3.5 397B A17B
LMArena Vision: diagrams12101277Qwen3.5 397B A17B
LMArena Vision: homework12251292Qwen3.5 397B A17B
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 index13
Math benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%88.9%Qwen3.5 397B A17B
FrontierMath, tiers 1 to 344.9%31.2%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: math14051453Qwen3.5 397B A17B
LMArena Text: mathematical work14091454Qwen3.5 397B A17B
MathArenaNot measured19.2%Only Qwen3.5 397B A17B 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 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
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
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare13691455Qwen3.5 397B A17B
LMArena Text: legal and government13681441Qwen3.5 397B A17B
LMArena Text: business and finance13661435Qwen3.5 397B A17B
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
Design Arena: websitesNot measured1190Only Qwen3.5 397B A17B measured
Design Arena: UI componentsNot measured1161Only Qwen3.5 397B A17B measured
Design Arena: game devNot measured1140Only Qwen3.5 397B A17B measured
Design Arena: data vizNot measured1175Only Qwen3.5 397B A17B measured
Design Arena: 3DNot measured1160Only Qwen3.5 397B A17B measured
Design Arena: all code categoriesNot measured1179Only Qwen3.5 397B A17B measured
Design Arena: SVGNot measured1139Only Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index028
General benchmarks for GPT-5.4 Nano and Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
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%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)76.7%77.3%Qwen3.5 397B A17B
DTBench80.3%87.5%Qwen3.5 397B A17B
LMCA36.9%37.9%Qwen3.5 397B A17B
LMArena Text13721437Qwen3.5 397B A17B
LMArena Text: instruction following13621424Qwen3.5 397B A17B
LMArena Text: creative writing13151402Qwen3.5 397B A17B
LMArena Vision11961262Qwen3.5 397B A17B
LMArena Text: English13811443Qwen3.5 397B A17B
LMArena Text: non-English13591430Qwen3.5 397B A17B
LMArena Text: Chinese13911498Qwen3.5 397B A17B
LMArena Text: German13681445Qwen3.5 397B A17B
LMArena Text: Japanese13431429Qwen3.5 397B A17B
LMArena Text: Korean13211384Qwen3.5 397B A17B
LMArena Text: French13951462Qwen3.5 397B A17B
LMArena Text: Spanish13711441Qwen3.5 397B A17B
LMArena Text: Russian13631430Qwen3.5 397B A17B
LMArena Text: Polish13661447Qwen3.5 397B A17B
LMArena Text: multi-turn13821446Qwen3.5 397B A17B
LMArena Text: longer queries13651441Qwen3.5 397B A17B
LMArena Text: writing and language13381415Qwen3.5 397B A17B
LMArena Text: entertainment and media13251399Qwen3.5 397B A17B
LMArena Vision: English12021268Qwen3.5 397B A17B
LMArena Vision: Chinese12321314Qwen3.5 397B A17B
LMArena Vision: reading text12041271Qwen3.5 397B A17B
LMArena Vision: humor11611262Qwen3.5 397B A17B
LMArena Vision: captioningNot measured1230Only Qwen3.5 397B A17B measured
LMArena Vision: recognizing things11411265Qwen3.5 397B A17B
LMArena Vision: creative writing11591260Qwen3.5 397B A17B
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 Qwen3.5 397B A17B
BenchmarkGPT-5.4 NanoQwen3.5 397B A17BLeader
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
Qwen3.5 397B A17B$0.0016Fits 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
Qwen3.5 397B A17B$0.027Fits 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
Qwen3.5 397B A17B$0.101Fits 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 Qwen3.5 397B A17B
SpecificationOpenAI GPT-5.4 NanoQwen3.5 397B A17B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026February 16, 2026
Context window400K262K
Input $/Mtok$0.20$0.39
Output $/Mtok$1.25$2.34
Coding index44.8Not benchmarked
Independent measurements behind it21
Cost per solved task$0.14Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.4 Nano better than Qwen3.5 397B A17B for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3.5 397B A17B?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3.5 397B A17B?

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

How many benchmarks is the GPT-5.4 Nano vs Qwen3.5 397B A17B comparison based on?

53 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 Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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