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GPT-5.4 Nano vs Qwen3 Coder 480B A35B

GPT-5.4 Nano leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 20.7 to 11.9, and GPT-5.4 Nano costs 1.2x less per output token ($1.25 vs $1.50 per million). Updated October 21, 2026; 37 benchmarks have a result for both.

GPT-5.4 NanoOpenAI
Coding
44.8
Overall
20.7
Output $/M
$1.25
31
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
11.9
Output $/M
$1.50
6
vs boards won of 37 shared

GPT-5.4 Nano or Qwen3 Coder 480B A35B: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding.

Pick Qwen3 Coder 480B A35B for work measured by LMArena Text: coding or LMArena Text: creative writing, where it leads.

Shared results
37
GPT-5.4 Nano only
47
Qwen3 Coder 480B A35B only
15
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 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 32.5 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GPT-5.4 Nano 75.9% against Qwen3 Coder 480B A35B 40.5%, 35.4 points apart on a 0 to 100 scale.
Output price
GPT-5.4 Nano $1.25 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.2x apart.
Context window
GPT-5.4 Nano takes 400K tokens, Qwen3 Coder 480B A35B 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 Coder 480B A35BTies
Coding41
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
General145
All shared boards316
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B 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
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
SciCode47.2%Not measuredOnly GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)42.4%18.9%GPT-5.4 Nano
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML49.2%41.2%GPT-5.4 Nano
ALE-Bench1004.5461.4GPT-5.4 Nano
LMArena Text: coding14041412Qwen3 Coder 480B A35B
LMArena Text: software and IT14021393GPT-5.4 Nano
LMArena WebDev: ReactNot measured1257Only Qwen3 Coder 480B A35B measured
LMArena WebDev: HTMLNot measured1287Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
AA Intelligence Index20.711.9GPT-5.4 Nano
Epoch Capabilities Index146.0Not measuredOnly GPT-5.4 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
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%43.6%GPT-5.4 Nano
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
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%61.8%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)28.3%4.5%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)78.5%Not measuredOnly GPT-5.4 Nano measured
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 prompts13811372GPT-5.4 Nano
LMArena Text: expert13961338GPT-5.4 Nano
LMArena Text: hard prompts in English13871380GPT-5.4 Nano
LMArena Vision: diagrams1210Not measuredOnly GPT-5.4 Nano measured
LMArena Vision: homework1225Not measuredOnly GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
AIME88.8%Not measuredOnly GPT-5.4 Nano measured
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
OTIS Mock AIME87.8%Not measuredOnly GPT-5.4 Nano measured
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: math14051365GPT-5.4 Nano
LMArena Text: mathematical work14091367GPT-5.4 Nano
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
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
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
SimpleQA Verified11.7%Not measuredOnly GPT-5.4 Nano measured
LMArena Text: science13741347GPT-5.4 Nano
LMArena Text: medicine and healthcare13691347GPT-5.4 Nano
LMArena Text: legal and government13681358GPT-5.4 Nano
LMArena Text: business and finance13661343GPT-5.4 Nano
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
Design Arena: websitesNot measured1159Only Qwen3 Coder 480B A35B measured
Design Arena: UI componentsNot measured1113Only Qwen3 Coder 480B A35B measured
Design Arena: game devNot measured1099Only Qwen3 Coder 480B A35B measured
Design Arena: data vizNot measured1084Only Qwen3 Coder 480B A35B measured
Design Arena: all code categoriesNot measured1143Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index145
General benchmarks for GPT-5.4 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
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%40.5%GPT-5.4 Nano
Long context reasoning (AA-LCR)76.7%45.7%GPT-5.4 Nano
DTBench80.3%Not measuredOnly GPT-5.4 Nano measured
LMCA36.9%Not measuredOnly GPT-5.4 Nano measured
LMArena Text13721357GPT-5.4 Nano
LMArena Text: instruction following13621355GPT-5.4 Nano
LMArena Text: creative writing13151333Qwen3 Coder 480B A35B
LMArena Vision1196Not measuredOnly GPT-5.4 Nano measured
LMArena Text: English13811359GPT-5.4 Nano
LMArena Text: non-English13591346GPT-5.4 Nano
LMArena Text: Chinese13911357GPT-5.4 Nano
LMArena Text: German13681325GPT-5.4 Nano
LMArena Text: Japanese13431311GPT-5.4 Nano
LMArena Text: Korean13211305GPT-5.4 Nano
LMArena Text: French13951398Qwen3 Coder 480B A35B
LMArena Text: Spanish13711360GPT-5.4 Nano
LMArena Text: Russian13631366Qwen3 Coder 480B A35B
LMArena Text: Polish13661344GPT-5.4 Nano
LMArena Text: multi-turn13821366GPT-5.4 Nano
LMArena Text: longer queries13651378Qwen3 Coder 480B A35B
LMArena Text: writing and language13381340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media13251317GPT-5.4 Nano
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 15 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 Coder 480B A35B
BenchmarkGPT-5.4 NanoQwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0010Fits 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 Coder 480B A35B$0.019Fits 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 Coder 480B A35B$0.075Fits 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 Coder 480B A35B
SpecificationOpenAI GPT-5.4 NanoQwen3 Coder 480B A35B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedMarch 17, 2026July 23, 2025
Context window400K262K
Input $/Mtok$0.20$0.30
Output $/Mtok$1.25$1.50
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 Coder 480B A35B for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding. Pick Qwen3 Coder 480B A35B for work measured by LMArena Text: coding or LMArena Text: creative writing, where it leads.

Which is cheaper, GPT-5.4 Nano or Qwen3 Coder 480B A35B?

GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 Coder 480B A35B?

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

How many benchmarks is the GPT-5.4 Nano vs Qwen3 Coder 480B A35B comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. GPT-5.4 Nano's coding index rests on 2 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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