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GPT-4.1 Nano vs Qwen3 Next 80B A3B Instruct

Qwen3 Next 80B A3B Instruct leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 9.6 to 7.8, and GPT-4.1 Nano costs 2.8x less per output token ($0.40 vs $1.10 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Qwen3 Next 80B A3B Instruct
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
Qwen3 Next 80B A3B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.10
37
vs boards won of 37 shared

GPT-4.1 Nano or Qwen3 Next 80B A3B Instruct: which to pick

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

Pick GPT-4.1 Nano for output tokens 2.8x cheaper ($0.40 vs $1.10 per million) and a larger context window (1.05M against 262K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Next 80B A3B InstructQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
GPT-4.1 Nano only
34
Qwen3 Next 80B A3B Instruct only
4
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-4.1 Nano not benchmarked, Qwen3 Next 80B A3B Instruct not benchmarked.
Widest category
Math, 43.7 points apart on average over 4 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): GPT-4.1 Nano 24.0% against Qwen3 Next 80B A3B Instruct 84.3%, 60.3 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Qwen3 Next 80B A3B Instruct $1.10 per million output tokens, 2.8x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Qwen3 Next 80B A3B Instruct 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 Next 80B A3B InstructTies
Coding04
Intelligence01
Agentic work01
Reasoning06
Math04
Knowledge05
General016
All shared boards037
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano 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%78.4%Qwen3 Next 80B A3B Instruct
Terminal-Bench Hard (Artificial Analysis run)3.8%9.8%Qwen3 Next 80B A3B Instruct
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061440Qwen3 Next 80B A3B Instruct
LMArena Text: software and IT13051447Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
AA Intelligence Index7.89.6Qwen3 Next 80B A3B Instruct
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 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
τ²-Bench Telecom17.3%41.5%Qwen3 Next 80B A3B Instruct
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
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%75.9%Qwen3 Next 80B A3B Instruct
Humanity's Last Exam (Artificial Analysis run)3.8%12.6%Qwen3 Next 80B A3B Instruct
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 prompts12861428Qwen3 Next 80B A3B Instruct
LMArena Text: expert12711417Qwen3 Next 80B A3B Instruct
LMArena Text: hard prompts in English12931431Qwen3 Next 80B A3B Instruct
Kagi LLM Benchmark33.3%66.7%Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
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 Index24.084.3Qwen3 Next 80B A3B Instruct
AIME 2025 (Artificial Analysis run)24.0%84.3%Qwen3 Next 80B A3B Instruct
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741440Qwen3 Next 80B A3B Instruct
LMArena Text: mathematical work12741434Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
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%82.4%Qwen3 Next 80B A3B Instruct
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971434Qwen3 Next 80B A3B Instruct
LMArena Text: medicine and healthcare12761455Qwen3 Next 80B A3B Instruct
LMArena Text: legal and government13001431Qwen3 Next 80B A3B Instruct
LMArena Text: business and finance12671422Qwen3 Next 80B A3B Instruct
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
Design Arena: websites973Not measuredOnly GPT-4.1 Nano measured
Design Arena: UI components913Not measuredOnly GPT-4.1 Nano measured
Design Arena: game dev970Not measuredOnly GPT-4.1 Nano measured
Design Arena: data viz891Not measuredOnly GPT-4.1 Nano measured
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories962Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
IFBench32.0%60.7%Qwen3 Next 80B A3B Instruct
Long context reasoning (AA-LCR)20.3%63.7%Qwen3 Next 80B A3B Instruct
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%55.6%Qwen3 Next 80B A3B Instruct
LMArena Text12851417Qwen3 Next 80B A3B Instruct
LMArena Text: instruction following12661388Qwen3 Next 80B A3B Instruct
LMArena Text: creative writing12601333Qwen3 Next 80B A3B Instruct
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031421Qwen3 Next 80B A3B Instruct
LMArena Text: non-English12601407Qwen3 Next 80B A3B Instruct
LMArena Text: Chinese12701460Qwen3 Next 80B A3B Instruct
LMArena Text: German12881416Qwen3 Next 80B A3B Instruct
LMArena Text: Japanese11981395Qwen3 Next 80B A3B Instruct
LMArena Text: KoreanNot measured1363Only Qwen3 Next 80B A3B Instruct measured
LMArena Text: FrenchNot measured1414Only Qwen3 Next 80B A3B Instruct measured
LMArena Text: SpanishNot measured1435Only Qwen3 Next 80B A3B Instruct measured
LMArena Text: Russian12611404Qwen3 Next 80B A3B Instruct
LMArena Text: PolishNot measured1398Only Qwen3 Next 80B A3B Instruct measured
LMArena Text: multi-turn12771416Qwen3 Next 80B A3B Instruct
LMArena Text: longer queries12831402Qwen3 Next 80B A3B Instruct
LMArena Text: writing and language12611355Qwen3 Next 80B A3B Instruct
LMArena Text: entertainment and media12431349Qwen3 Next 80B A3B Instruct
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 24 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 Next 80B A3B Instruct
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B InstructLeader
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 Next 80B A3B Instruct$0.0006Fits 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 Next 80B A3B Instruct$0.0083Fits 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 Next 80B A3B Instruct$0.031Fits 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 Next 80B A3B Instruct
SpecificationOpenAI GPT-4.1 NanoQwen3 Next 80B A3B Instruct
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025September 11, 2025
Context window1.05M262K
Input $/Mtok$0.10$0.10
Output $/Mtok$0.40$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Qwen3 Next 80B A3B Instruct for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 2.8x cheaper ($0.40 vs $1.10 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, GPT-4.1 Nano or Qwen3 Next 80B A3B Instruct?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 Next 80B A3B Instruct costs $0.10 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or Qwen3 Next 80B A3B Instruct?

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

How many benchmarks is the GPT-4.1 Nano vs Qwen3 Next 80B A3B Instruct comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and Qwen3 Next 80B A3B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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