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GPT-4.1 Nano vs Qwen3 Coder 480B A35B

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Nano Replace Qwen3 Coder 480B A35B
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
0
Qwen3 Coder 480B A35BQwen
Coding
50.0
Overall
11.9
Output $/M
$1.00
41
vs boards won of 41 shared

Decision reading

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 2.5x less, or when the context window is larger, 1.05M against 262K tokens.

Model AGPT-4.1 NanoOpenAI8.9/1001 independent benchmarkNo cost per solved taskModel BQwen3 Coder 480B A35BQwen50.0/1002 independent benchmarksNo cost per solved task
Shared results
41
GPT-4.1 Nano only
28
Qwen3 Coder 480B A35B only
11
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-4.1 Nano 8.9 from 1 benchmark, Qwen3 Coder 480B A35B 50.0 from 2 benchmarks.
Widest category
Agentic work, 26.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Nano 17.3% against Qwen3 Coder 480B A35B 43.6%, 26.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Qwen3 Coder 480B A35B $1.00 per million output tokens, 2.5x apart.
Context window
GPT-4.1 Nano takes 1.05M 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-4.1 NanoBarsQwen3 Coder 480B A35BTies
Coding05
Intelligence01
Agentic work01
Reasoning05
Math04
Knowledge05
Web design05
General015
All shared boards041
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDevNot measured1275Only Qwen3 Coder 480B A35B measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)32.6%58.5%Qwen3 Coder 480B A35B
Terminal-Bench Hard (Artificial Analysis run)3.8%18.9%Qwen3 Coder 480B A35B
Terminal-BenchNot measured27.2%Only Qwen3 Coder 480B A35B measured
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML19.0%41.2%Qwen3 Coder 480B A35B
ALE-BenchNot measured461.4Only Qwen3 Coder 480B A35B measured
LMArena Text: coding13061412Qwen3 Coder 480B A35B
LMArena Text: software and IT13051393Qwen3 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 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
AA Intelligence Index7.811.9Qwen3 Coder 480B A35B
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
τ²-Bench Telecom17.3%43.6%Qwen3 Coder 480B A35B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
GPQA Diamond50.8%Not measuredOnly GPT-4.1 Nano measured
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%61.8%Qwen3 Coder 480B A35B
Humanity's Last Exam (Artificial Analysis run)3.8%4.5%Qwen3 Coder 480B A35B
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861372Qwen3 Coder 480B A35B
LMArena Text: expert12711338Qwen3 Coder 480B A35B
LMArena Text: hard prompts in English12931380Qwen3 Coder 480B A35B
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
AIME26.5%Not measuredOnly GPT-4.1 Nano measured
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.039.3Qwen3 Coder 480B A35B
AIME 2025 (Artificial Analysis run)24.0%39.3%Qwen3 Coder 480B A35B
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741365Qwen3 Coder 480B A35B
LMArena Text: mathematical work12741367Qwen3 Coder 480B A35B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
MMLU Pro63.5%Not measuredOnly GPT-4.1 Nano measured
LegalBench (Vals AI)61.1%Not measuredOnly GPT-4.1 Nano measured
CorpFin (Vals AI)42.1%Not measuredOnly GPT-4.1 Nano measured
TaxEval (Vals AI)60.8%Not measuredOnly GPT-4.1 Nano measured
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%Not measuredOnly GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)65.7%78.8%Qwen3 Coder 480B A35B
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971347Qwen3 Coder 480B A35B
LMArena Text: medicine and healthcare12761347Qwen3 Coder 480B A35B
LMArena Text: legal and government13001358Qwen3 Coder 480B A35B
LMArena Text: business and finance12671343Qwen3 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-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
Design Arena: websites9731159Qwen3 Coder 480B A35B
Design Arena: UI components9161112Qwen3 Coder 480B A35B
Design Arena: game dev9711099Qwen3 Coder 480B A35B
Design Arena: data viz8911084Qwen3 Coder 480B A35B
Design Arena: 3D925Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories9631143Qwen3 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 index015
General benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 NanoQwen3 Coder 480B A35BLeader
IFBench32.0%40.5%Qwen3 Coder 480B A35B
Long context reasoning (AA-LCR)20.3%45.7%Qwen3 Coder 480B A35B
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851357Qwen3 Coder 480B A35B
LMArena Text: instruction following12661355Qwen3 Coder 480B A35B
LMArena Text: creative writing12601333Qwen3 Coder 480B A35B
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031359Qwen3 Coder 480B A35B
LMArena Text: non-English12601346Qwen3 Coder 480B A35B
LMArena Text: Chinese12701357Qwen3 Coder 480B A35B
LMArena Text: German12881325Qwen3 Coder 480B A35B
LMArena Text: Japanese11981311Qwen3 Coder 480B A35B
LMArena Text: KoreanNot measured1305Only Qwen3 Coder 480B A35B measured
LMArena Text: FrenchNot measured1398Only Qwen3 Coder 480B A35B measured
LMArena Text: SpanishNot measured1360Only Qwen3 Coder 480B A35B measured
LMArena Text: Russian12611366Qwen3 Coder 480B A35B
LMArena Text: PolishNot measured1344Only Qwen3 Coder 480B A35B measured
LMArena Text: multi-turn12771366Qwen3 Coder 480B A35B
LMArena Text: longer queries12831378Qwen3 Coder 480B A35B
LMArena Text: writing and language12611340Qwen3 Coder 480B A35B
LMArena Text: entertainment and media12431317Qwen3 Coder 480B A35B
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and Qwen3 Coder 480B A35B
BenchmarkGPT-4.1 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-4.1 Nano$0.0003Fits in one request
Qwen3 Coder 480B A35B$0.0008Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
Qwen3 Coder 480B A35B$0.018Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
Qwen3 Coder 480B A35B$0.070Fits in one request

GPT-4.1 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-4.1 Nano and Qwen3 Coder 480B A35B
SpecificationOpenAI GPT-4.1 NanoQwen3 Coder 480B A35B
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 23, 2025
Context window1.05M262K
Input $/Mtok$0.10$0.30
Output $/Mtok$0.40$1.00
Coding index8.950.0
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Qwen3 Coder 480B A35B for coding?

Pick Qwen3 Coder 480B A35B for coding: it scores 50.0 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 2.5x less, or when the context window is larger, 1.05M against 262K tokens.

Which is cheaper, GPT-4.1 Nano or Qwen3 Coder 480B A35B?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or Qwen3 Coder 480B A35B?

GPT-4.1 Nano, with 1.05M tokens against 262K.

How many benchmarks is the GPT-4.1 Nano vs Qwen3 Coder 480B A35B comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. GPT-4.1 Nano's coding index rests on 1 independent benchmark and Qwen3 Coder 480B A35B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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