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GPT-5 Nano vs Qwen3 Coder 480B A35B

GPT-5 Nano leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 13.0 to 11.9, and GPT-5 Nano costs 3.8x less per output token ($0.40 vs $1.50 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace GPT-5 Nano Replace Qwen3 Coder 480B A35B
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
10
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
37
vs boards won of 47 shared

GPT-5 Nano or Qwen3 Coder 480B A35B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-5 Nano for output tokens 3.8x cheaper ($0.40 vs $1.50 per million) and a larger context window (400K against 262K tokens).

Model AGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
47
GPT-5 Nano only
40
Qwen3 Coder 480B A35B only
6
Like-for-like categories
8 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 Nano not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Math, 25.9 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: GPT-5 Nano 83.7 against Qwen3 Coder 480B A35B 39.3, 44.4 points apart on a 0 to 100 scale.
Output price
GPT-5 Nano $0.40 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 3.8x apart.
Context window
GPT-5 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 NanoBarsQwen3 Coder 480B A35BTies
Coding16
Intelligence10
Agentic work01
Reasoning33
Math22
Knowledge05
Web design05
General315
All shared boards1037
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
Coding benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
SWE-bench Verified34.8%69.6%Qwen3 Coder 480B A35B
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
LiveCodeBench (Vals AI)70.2%Not measuredOnly GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)78.9%58.5%GPT-5 Nano
Terminal-Bench Hard (Artificial Analysis run)17.4%18.9%Qwen3 Coder 480B A35B
Terminal-Bench21.8%27.2%Qwen3 Coder 480B A35B
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML38.1%41.2%Qwen3 Coder 480B A35B
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding13511412Qwen3 Coder 480B A35B
LMArena Text: software and IT13451393Qwen3 Coder 480B A35B
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 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
AA Intelligence Index13.011.9GPT-5 Nano
Epoch Capabilities Index139.2Not measuredOnly GPT-5 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
τ²-Bench Telecom36.5%43.6%Qwen3 Coder 480B A35B
Berkeley Function Calling Leaderboard (BFCL)51.4%Not measuredOnly GPT-5 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
GPQA Diamond63.4%Not measuredOnly GPT-5 Nano measured
MMMU Pro (Vals AI)70.9%Not measuredOnly GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)67.6%61.8%GPT-5 Nano
Humanity's Last Exam (Artificial Analysis run)9.5%4.5%GPT-5 Nano
GPQA Diamond (Epoch AI run)69.4%Not measuredOnly GPT-5 Nano measured
ARC-AGI20.7%Not measuredOnly GPT-5 Nano measured
ARC-AGI-22.6%Not measuredOnly GPT-5 Nano measured
Chess puzzles22.0%Not measuredOnly GPT-5 Nano measured
Mystery game puzzles9.0%Not measuredOnly GPT-5 Nano measured
VPCT37.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: hard prompts13281372Qwen3 Coder 480B A35B
LMArena Text: expert13211338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English13381380Qwen3 Coder 480B A35B
LMArena Vision: diagrams1141Not measuredOnly GPT-5 Nano measured
LMArena Vision: homework1157Not measuredOnly GPT-5 Nano measured
Kagi LLM Benchmark62.2%49.5%GPT-5 Nano
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
AIME81.2%Not measuredOnly GPT-5 Nano measured
MATH 500 (Vals AI)93.8%Not measuredOnly GPT-5 Nano measured
MGSM (Vals AI)89.3%Not measuredOnly GPT-5 Nano measured
AA Math Index83.739.3GPT-5 Nano
AIME 2025 (Artificial Analysis run)83.7%39.3%GPT-5 Nano
OTIS Mock AIME81.1%Not measuredOnly GPT-5 Nano measured
FrontierMath, tiers 1 to 320.0%Not measuredOnly GPT-5 Nano measured
FrontierMath, tier 42.4%Not measuredOnly GPT-5 Nano measured
ProofBench12.0%Not measuredOnly GPT-5 Nano measured
MATH level 595.2%Not measuredOnly GPT-5 Nano measured
LMArena Text: math13171365Qwen3 Coder 480B A35B
LMArena Text: mathematical work13261367Qwen3 Coder 480B A35B
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
MMLU Pro76.1%Not measuredOnly GPT-5 Nano measured
LegalBench (Vals AI)50.1%Not measuredOnly GPT-5 Nano measured
CaseLaw (Vals AI)52.6%Not measuredOnly GPT-5 Nano measured
TaxEval (Vals AI)67.4%Not measuredOnly GPT-5 Nano measured
MortgageTax (Vals AI)53.6%Not measuredOnly GPT-5 Nano measured
MedQA (Vals AI)93.3%Not measuredOnly GPT-5 Nano measured
MedCode (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)78.0%78.8%Qwen3 Coder 480B A35B
SimpleQA Verified11.7%Not measuredOnly GPT-5 Nano measured
LMArena Text: science13181347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare13351347Qwen3 Coder 480B A35B
LMArena Text: legal and government12981358Qwen3 Coder 480B A35B
LMArena Text: business and finance13111343Qwen3 Coder 480B A35B
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
Design Arena: websites11011158Qwen3 Coder 480B A35B
Design Arena: UI components10641110Qwen3 Coder 480B A35B
Design Arena: game dev10441098Qwen3 Coder 480B A35B
Design Arena: data viz10561084Qwen3 Coder 480B A35B
Design Arena: 3D965Not measuredOnly GPT-5 Nano measured
Design Arena: all code categories10841142Qwen3 Coder 480B A35B
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
General benchmarks for GPT-5 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 NanoQwen3 Coder 480B A35BLeader
SAGE (Vals AI)30.4%Not measuredOnly GPT-5 Nano measured
MedScribe (Vals AI)72.9%Not measuredOnly GPT-5 Nano measured
IFBench67.6%40.5%GPT-5 Nano
Long context reasoning (AA-LCR)45.0%45.7%Qwen3 Coder 480B A35B
DTBench62.7%Not measuredOnly GPT-5 Nano measured
LMCA7.9%Not measuredOnly GPT-5 Nano measured
Fiction.LiveBench44.4%Not measuredOnly GPT-5 Nano measured
LMArena Text13201357Qwen3 Coder 480B A35B
LMArena Text: instruction following13061355Qwen3 Coder 480B A35B
LMArena Text: creative writing12491333Qwen3 Coder 480B A35B
LMArena Vision1159Not measuredOnly GPT-5 Nano measured
LMArena Text: English13211359Qwen3 Coder 480B A35B
LMArena Text: non-English13131346Qwen3 Coder 480B A35B
LMArena Text: Chinese13561357Qwen3 Coder 480B A35B
LMArena Text: German13271325GPT-5 Nano
LMArena Text: Japanese12271311Qwen3 Coder 480B A35B
LMArena Text: Korean12691305Qwen3 Coder 480B A35B
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: Spanish13601360GPT-5 Nano
LMArena Text: Russian12961366Qwen3 Coder 480B A35B
LMArena Text: Polish13141344Qwen3 Coder 480B A35B
LMArena Text: multi-turn13111366Qwen3 Coder 480B A35B
LMArena Text: longer queries13121378Qwen3 Coder 480B A35B
LMArena Text: writing and language12831340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12681317Qwen3 Coder 480B A35B
LMArena Vision: English1170Not measuredOnly GPT-5 Nano measured
LMArena Vision: Chinese1176Not measuredOnly GPT-5 Nano measured
LMArena Vision: reading text1152Not measuredOnly GPT-5 Nano measured
LMArena Vision: humor1110Not measuredOnly GPT-5 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 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-5 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 Nano$0.0003Fits in one request
Qwen3 Coder 480B A35B$0.0010Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

GPT-5 Nano$0.0037Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-5 Nano$0.014Fits in one request
Qwen3 Coder 480B A35B$0.075Fits in one request

GPT-5 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 Nano and Qwen3 Coder 480B A35B
SpecificationOpenAI GPT-5 NanoQwen3 Coder 480B A35B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 7, 2025July 23, 2025
Context window400K262K
Input $/Mtok$0.05$0.30
Output $/Mtok$0.40$1.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved task$0.109Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 Nano better than Qwen3 Coder 480B A35B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 3.8x cheaper ($0.40 vs $1.50 per million) and a larger context window (400K against 262K tokens).

Which is cheaper, GPT-5 Nano or Qwen3 Coder 480B A35B?

GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, GPT-5 Nano or Qwen3 Coder 480B A35B?

GPT-5 Nano, with 400K tokens against 262K.

How many benchmarks is the GPT-5 Nano vs Qwen3 Coder 480B A35B comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. GPT-5 Nano's coding index rests on 0 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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