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GPT-4.1 Nano vs Hy3

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
0
Hy3Tencent
Coding
43.9
Overall
No data
Output $/M
$0.528
33
vs boards won of 33 shared

Decision reading

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 1.3x less, or when the context window is larger, 1.05M against 262K tokens.

Shared results
33
GPT-4.1 Nano only
36
Hy3 only
11
Like-for-like categories
6 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, Hy3 43.9 from 1 benchmark.
Widest category
Web design, 33.9 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 Nano 20.3% against Hy3 79.0%, 58.7 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Hy3 $0.528 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Hy3 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 NanoBarsHy3Ties
Coding02
Reasoning05
Math02
Knowledge04
Web design06
General014
All shared boards033
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4.1 Nano and Hy3
BenchmarkGPT-4.1 NanoHy3Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
LMArena WebDevNot measured1507Only Hy3 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%Not measuredOnly GPT-4.1 Nano measured
SciCodeNot measured48.6%Only Hy3 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
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding13061466Hy3
LMArena Text: software and IT13051463Hy3
LMArena WebDev: ReactNot measured1511Only Hy3 measured
LMArena WebDev: HTMLNot measured1487Only Hy3 measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for GPT-4.1 Nano and Hy3
BenchmarkGPT-4.1 NanoHy3Leader
AA Intelligence Index7.8Not measuredOnly GPT-4.1 Nano measured
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4.1 Nano and Hy3
BenchmarkGPT-4.1 NanoHy3Leader
τ²-Bench Telecom17.3%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
BenchmarkGPT-4.1 NanoHy3Leader
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%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)3.8%33.5%Hy3
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 prompts12861447Hy3
LMArena Text: expert12711461Hy3
LMArena Text: hard prompts in English12931455Hy3
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
BenchmarkGPT-4.1 NanoHy3Leader
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: math12741473Hy3
LMArena Text: mathematical work12741482Hy3
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
BenchmarkGPT-4.1 NanoHy3Leader
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: science12971457Hy3
LMArena Text: medicine and healthcare12761452Hy3
LMArena Text: legal and government13001422Hy3
LMArena Text: business and finance12671424Hy3
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Nano and Hy3
BenchmarkGPT-4.1 NanoHy3Leader
Design Arena: websites9731230Hy3
Design Arena: UI components9161205Hy3
Design Arena: game dev9711208Hy3
Design Arena: data viz8911163Hy3
Design Arena: 3D9251233Hy3
Design Arena: all code categories9631227Hy3
Design Arena: SVGNot measured1199Only Hy3 measured
Design Arena: ASCII artNot measured1157Only Hy3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for GPT-4.1 Nano and Hy3
BenchmarkGPT-4.1 NanoHy3Leader
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%79.0%Hy3
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 Text12851438Hy3
LMArena Text: instruction following12661426Hy3
LMArena Text: creative writing12601403Hy3
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031448Hy3
LMArena Text: non-English12601426Hy3
LMArena Text: Chinese12701485Hy3
LMArena Text: German12881449Hy3
LMArena Text: Japanese11981397Hy3
LMArena Text: KoreanNot measured1396Only Hy3 measured
LMArena Text: FrenchNot measured1456Only Hy3 measured
LMArena Text: SpanishNot measured1457Only Hy3 measured
LMArena Text: Russian12611432Hy3
LMArena Text: PolishNot measured1447Only Hy3 measured
LMArena Text: multi-turn12771436Hy3
LMArena Text: longer queries12831442Hy3
LMArena Text: writing and language12611414Hy3
LMArena Text: entertainment and media12431400Hy3
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 Hy3
BenchmarkGPT-4.1 NanoHy3Leader
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$0.0004Fits 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$0.0082Fits 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$0.032Fits 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
SpecificationOpenAI GPT-4.1 NanoTencent Hy3
MakerOpenAITencent
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 6, 2026
Context window1.05M262K
Input $/Mtok$0.10$0.132
Output $/Mtok$0.40$0.528
Coding index8.943.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Hy3 for coding?

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 1.3x less, or when the context window is larger, 1.05M against 262K tokens.

Which is cheaper, GPT-4.1 Nano or Hy3?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Hy3 costs $0.132 and $0.528. Cost per solved task is known for neither of them.

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

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

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

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

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