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GPT-5.4 Nano vs Qwen3.5-35B-A3B

GPT-5.4 Nano leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 20.7 to 19.3, at about the same output price ($1.25 vs $1.30 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace GPT-5.4 Nano Replace Qwen3.5-35B-A3B
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
13
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
28
vs boards won of 41 shared

GPT-5.4 Nano or Qwen3.5-35B-A3B: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-35B-A3B 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 BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
41
GPT-5.4 Nano only
44
Qwen3.5-35B-A3B only
5
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, Qwen3.5-35B-A3B not benchmarked.
Widest category
Agentic work, 13.2 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: GPT-5.4 Nano 1004.5 against Qwen3.5-35B-A3B 221.8, 26.1 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3.5-35B-A3B $1.30 per million output tokens, 1.0x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3.5-35B-A3B 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 NanoBarsQwen3.5-35B-A3BTies
Coding22
Intelligence20
Agentic work01
Reasoning15
Math21
Knowledge04
General615
All shared boards1328
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B 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%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%26.5%GPT-5.4 Nano
WeirdML49.2%Not measuredOnly GPT-5.4 Nano measured
ALE-Bench1004.5221.8GPT-5.4 Nano
LMArena Text: coding14041410Qwen3.5-35B-A3B
LMArena Text: software and IT14021415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
AA Intelligence Index20.719.3GPT-5.4 Nano
Epoch Capabilities Index146.0142.5GPT-5.4 Nano
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
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%89.2%Qwen3.5-35B-A3B
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
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%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)28.3%21.0%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%83.5%Qwen3.5-35B-A3B
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%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: hard prompts13811400Qwen3.5-35B-A3B
LMArena Text: expert13961408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13871411Qwen3.5-35B-A3B
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 index21
Math benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
OTIS Mock AIME87.8%70.0%GPT-5.4 Nano
FrontierMath, tiers 1 to 344.9%Not measuredOnly GPT-5.4 Nano measured
FrontierMath, tier 412.2%Not measuredOnly GPT-5.4 Nano measured
ProofBench5.0%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: math14051404GPT-5.4 Nano
LMArena Text: mathematical work14091410Qwen3.5-35B-A3B
MathArenaNot measured14.7%Only Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
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: science13741413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13691421Qwen3.5-35B-A3B
LMArena Text: legal and government13681399Qwen3.5-35B-A3B
LMArena Text: business and finance13661394Qwen3.5-35B-A3B
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 Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index615
General benchmarks for GPT-5.4 Nano and Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
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%72.5%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%72.0%GPT-5.4 Nano
DTBench80.3%80.0%GPT-5.4 Nano
LMCA36.9%29.5%GPT-5.4 Nano
LMArena Text13721395Qwen3.5-35B-A3B
LMArena Text: instruction following13621379Qwen3.5-35B-A3B
LMArena Text: creative writing13151347Qwen3.5-35B-A3B
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811407Qwen3.5-35B-A3B
LMArena Text: non-English13591378Qwen3.5-35B-A3B
LMArena Text: Chinese13911457Qwen3.5-35B-A3B
LMArena Text: German13681367GPT-5.4 Nano
LMArena Text: Japanese13431326GPT-5.4 Nano
LMArena Text: Korean13211355Qwen3.5-35B-A3B
LMArena Text: French13951412Qwen3.5-35B-A3B
LMArena Text: Spanish13711390Qwen3.5-35B-A3B
LMArena Text: Russian13631376Qwen3.5-35B-A3B
LMArena Text: Polish13661385Qwen3.5-35B-A3B
LMArena Text: multi-turn13821390Qwen3.5-35B-A3B
LMArena Text: longer queries13651389Qwen3.5-35B-A3B
LMArena Text: writing and language13381365Qwen3.5-35B-A3B
LMArena Text: entertainment and media13251347Qwen3.5-35B-A3B
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 17 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 Qwen3.5-35B-A3B
BenchmarkGPT-5.4 NanoQwen3.5-35B-A3BLeader
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
Qwen3.5-35B-A3B$0.0008Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

GPT-5.4 Nano$0.014Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

GPT-5.4 Nano$0.052Fits in one request
Qwen3.5-35B-A3B$0.045Fits in one request

Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B
SpecificationOpenAI GPT-5.4 NanoQwen3.5-35B-A3B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026February 25, 2026
Context window400K262K
Input $/Mtok$0.20$0.1625
Output $/Mtok$1.25$1.30
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 Qwen3.5-35B-A3B for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3.5-35B-A3B has none, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3.5-35B-A3B?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3.5-35B-A3B?

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

How many benchmarks is the GPT-5.4 Nano vs Qwen3.5-35B-A3B comparison based on?

41 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 Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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