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GPT-4.1 Nano vs Qwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 11.2 to 7.8, and GPT-4.1 Nano costs 3.0x less per output token ($0.40 vs $1.20 per million). Updated October 22, 2026; 26 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Qwen3 Next 80B A3B Thinking
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
26
vs boards won of 26 shared

GPT-4.1 Nano or Qwen3 Next 80B A3B Thinking: 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 3.0x cheaper ($0.40 vs $1.20 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 ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
26
GPT-4.1 Nano only
45
Qwen3 Next 80B A3B Thinking only
4
Like-for-like categories
6 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 Thinking not benchmarked.
Widest category
Math, 20.0 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4.1 Nano 1270 against Qwen3 Next 80B A3B Thinking 1407, 22.8 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 3.0x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Qwen3 Next 80B A3B Thinking 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 ThinkingTies
Coding03
Intelligence01
Reasoning03
Math02
Knowledge04
General013
All shared boards026
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.117.4Qwen3 Next 80B A3B Thinking
LiveCodeBench (Vals AI)42.7%Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)32.6%Not measuredOnly GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061392Qwen3 Next 80B A3B Thinking
LMArena Text: software and IT13051393Qwen3 Next 80B A3B Thinking
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 Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index7.811.2Qwen3 Next 80B A3B Thinking
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
τ²-Bench Telecom17.3%Not measuredOnly GPT-4.1 Nano measured
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 index03
Reasoning benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
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%Not measuredOnly GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
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 prompts12861371Qwen3 Next 80B A3B Thinking
LMArena Text: expert12711376Qwen3 Next 80B A3B Thinking
LMArena Text: hard prompts in English12931384Qwen3 Next 80B A3B Thinking
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
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 Index24.0Not measuredOnly GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)24.0%Not measuredOnly GPT-4.1 Nano measured
OTIS Mock AIME28.9%Not measuredOnly GPT-4.1 Nano measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741399Qwen3 Next 80B A3B Thinking
LMArena Text: mathematical work12741390Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
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%Not measuredOnly GPT-4.1 Nano measured
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971384Qwen3 Next 80B A3B Thinking
LMArena Text: medicine and healthcare12761392Qwen3 Next 80B A3B Thinking
LMArena Text: legal and government13001364Qwen3 Next 80B A3B Thinking
LMArena Text: business and finance12671360Qwen3 Next 80B A3B Thinking
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 Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
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 index013
General benchmarks for GPT-4.1 Nano and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%Not measuredOnly GPT-4.1 Nano measured
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 Text12851368Qwen3 Next 80B A3B Thinking
LMArena Text: instruction following12661344Qwen3 Next 80B A3B Thinking
LMArena Text: creative writing12601314Qwen3 Next 80B A3B Thinking
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031392Qwen3 Next 80B A3B Thinking
LMArena Text: non-English12601342Qwen3 Next 80B A3B Thinking
LMArena Text: Chinese12701407Qwen3 Next 80B A3B Thinking
LMArena Text: German12881356Qwen3 Next 80B A3B Thinking
LMArena Text: Japanese11981280Qwen3 Next 80B A3B Thinking
LMArena Text: KoreanNot measured1310Only Qwen3 Next 80B A3B Thinking measured
LMArena Text: FrenchNot measured1351Only Qwen3 Next 80B A3B Thinking measured
LMArena Text: SpanishNot measured1358Only Qwen3 Next 80B A3B Thinking measured
LMArena Text: Russian12611337Qwen3 Next 80B A3B Thinking
LMArena Text: PolishNot measured1345Only Qwen3 Next 80B A3B Thinking measured
LMArena Text: multi-turn12771346Qwen3 Next 80B A3B Thinking
LMArena Text: longer queries12831353Qwen3 Next 80B A3B Thinking
LMArena Text: writing and language12611330Qwen3 Next 80B A3B Thinking
LMArena Text: entertainment and media12431312Qwen3 Next 80B A3B Thinking
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 Thinking
BenchmarkGPT-4.1 NanoQwen3 Next 80B A3B ThinkingLeader
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 Thinking$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 Next 80B A3B Thinking$0.011Fits 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 Thinking$0.042Fits 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 Thinking
SpecificationOpenAI GPT-4.1 NanoQwen3 Next 80B A3B Thinking
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025September 11, 2025
Context window1.05M262K
Input $/Mtok$0.10$0.15
Output $/Mtok$0.40$1.20
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 Thinking 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 3.0x cheaper ($0.40 vs $1.20 per million) and a larger context window (1.05M against 262K tokens).

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

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. 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 Thinking?

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

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

26 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 Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

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