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GPT-4.1 Nano vs Hy3 preview

Hy3 preview leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 25.3 to 7.8, and GPT-4.1 Nano costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 22, 2026; 30 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Hy3 preview
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
30
vs boards won of 30 shared

GPT-4.1 Nano or Hy3 preview: 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 1.5x cheaper ($0.40 vs $0.60 per million) and a larger context window (1.05M against 262K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BHy3 previewTencentNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
30
GPT-4.1 Nano only
41
Hy3 preview only
6
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, Hy3 preview not benchmarked.
Widest category
Agentic work, 75.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GPT-4.1 Nano 17.3% against Hy3 preview 92.7%, 75.4 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Hy3 preview $0.60 per million output tokens, 1.5x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Hy3 preview 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 NanoBarsHy3 previewTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General013
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for GPT-4.1 Nano and Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
LMArena WebDevNot measured1357Only Hy3 preview measured
AA Coding Index11.158.8Hy3 preview
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%34.1%Hy3 preview
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061421Hy3 preview
LMArena Text: software and IT13051423Hy3 preview
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTMLNot measured1356Only Hy3 preview measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4.1 Nano and Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
AA Intelligence Index7.825.3Hy3 preview
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 Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench Telecom17.3%92.7%Hy3 preview
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
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 Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
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%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)3.8%27.8%Hy3 preview
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 prompts12861413Hy3 preview
LMArena Text: expert12711422Hy3 preview
LMArena Text: hard prompts in English12931416Hy3 preview
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4.1 Nano and Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
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: math12741424Hy3 preview
LMArena Text: mathematical work12741442Hy3 preview
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4.1 Nano and Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
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: science12971416Hy3 preview
LMArena Text: medicine and healthcare12761405Hy3 preview
LMArena Text: legal and government13001430Hy3 preview
LMArena Text: business and finance12671397Hy3 preview
Neither model has a result on the other 6 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 Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
Design Arena: websites972Not 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 Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
IFBench32.0%63.1%Hy3 preview
Long context reasoning (AA-LCR)20.3%64.7%Hy3 preview
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 Text12851401Hy3 preview
LMArena Text: instruction following12661383Hy3 preview
LMArena Text: creative writing12601339Hy3 preview
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031409Hy3 preview
LMArena Text: non-English12601390Hy3 preview
LMArena Text: Chinese12701435Hy3 preview
LMArena Text: German1288Not measuredOnly GPT-4.1 Nano measured
LMArena Text: Japanese1198Not measuredOnly GPT-4.1 Nano measured
LMArena Text: FrenchNot measured1425Only Hy3 preview measured
LMArena Text: SpanishNot measured1399Only Hy3 preview measured
LMArena Text: Russian12611399Hy3 preview
LMArena Text: multi-turn12771411Hy3 preview
LMArena Text: longer queries12831402Hy3 preview
LMArena Text: writing and language12611370Hy3 preview
LMArena Text: entertainment and media12431352Hy3 preview
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 Hy3 preview
BenchmarkGPT-4.1 NanoHy3 previewLeader
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
Hy3 preview$0.0005Fits 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
Hy3 preview$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
Hy3 preview$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 Hy3 preview
SpecificationOpenAI GPT-4.1 NanoTencent Hy3 preview
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 22, 2026
Context window1.05M262K
Input $/Mtok$0.10$0.18
Output $/Mtok$0.40$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Hy3 preview 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 1.5x cheaper ($0.40 vs $0.60 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, GPT-4.1 Nano or Hy3 preview?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or Hy3 preview?

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

How many benchmarks is the GPT-4.1 Nano vs Hy3 preview comparison based on?

30 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 Hy3 preview's on 1. Where only one model has a result, the page says so instead of naming a winner.

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