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Phi 4 vs Hy3 preview

Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
Hy3 previewTencent
Coding
No data
Overall
25.3
Output $/M
$0.60
31
vs boards won of 31 shared

Decision reading

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

Phi 4 has the edge where output tokens cost 4.3x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Shared results
31
Phi 4 only
14
Hy3 preview only
5
Like-for-like categories
7 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
Phi 4 not benchmarked, Hy3 preview not benchmarked.
Widest category
Agentic work, 92.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Phi 4 0.0% against Hy3 preview 92.7%, 92.7 points apart on a 0 to 100 scale.
Output price
Phi 4 $0.14 against Hy3 preview $0.60 per million output tokens, 4.3x apart.
Context window
Phi 4 takes 16K 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
CategoryPhi 4BarsHy3 previewTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General015
All shared boards031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
LMArena WebDevNot measured1357Only Hy3 preview measured
AA Coding IndexNot measured58.8Only Hy3 preview measured
LiveCodeBench (Artificial Analysis run)23.1%Not measuredOnly Phi 4 measured
Terminal-Bench Hard (Artificial Analysis run)3.8%34.1%Hy3 preview
LMArena Text: coding12311421Hy3 preview
LMArena Text: software and IT12281423Hy3 preview
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTMLNot measured1356Only Hy3 preview measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
AA Intelligence Index5.925.3Hy3 preview
Epoch Capabilities Index130.5Not measuredOnly Phi 4 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench Telecom0.0%92.7%Hy3 preview
BALROG11.6%Not measuredOnly Phi 4 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
GPQA Diamond (Artificial Analysis run)57.5%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)3.8%27.8%Hy3 preview
GPQA Diamond (Epoch AI run)56.1%Not measuredOnly Phi 4 measured
LMArena Text: hard prompts12201413Hy3 preview
LMArena Text: expert12031422Hy3 preview
LMArena Text: hard prompts in English12301416Hy3 preview
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
AA Math Index18.0Not measuredOnly Phi 4 measured
AIME 2025 (Artificial Analysis run)18.0%Not measuredOnly Phi 4 measured
OTIS Mock AIME13.8%Not measuredOnly Phi 4 measured
MATH level 564.9%Not measuredOnly Phi 4 measured
LMArena Text: math12461424Hy3 preview
LMArena Text: mathematical work12541442Hy3 preview
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
MMLU Pro (Artificial Analysis run)71.4%Not measuredOnly Phi 4 measured
MMLU84.8%Not measuredOnly Phi 4 measured
LMArena Text: science12061416Hy3 preview
LMArena Text: medicine and healthcare12021405Hy3 preview
LMArena Text: legal and government12411430Hy3 preview
LMArena Text: business and finance11991397Hy3 preview
Neither model has a result on the other 11 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
General benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 previewLeader
IFBench23.5%63.1%Hy3 preview
Long context reasoning (AA-LCR)0.0%64.7%Hy3 preview
Creative writing (Lech Mazur)62.6%Not measuredOnly Phi 4 measured
LMArena Text12171401Hy3 preview
LMArena Text: instruction following12011383Hy3 preview
LMArena Text: creative writing11811339Hy3 preview
LMArena Text: English12311409Hy3 preview
LMArena Text: non-English11971390Hy3 preview
LMArena Text: Chinese12121435Hy3 preview
LMArena Text: German1222Not measuredOnly Phi 4 measured
LMArena Text: Japanese1158Not measuredOnly Phi 4 measured
LMArena Text: Korean1151Not measuredOnly Phi 4 measured
LMArena Text: French12241425Hy3 preview
LMArena Text: Spanish12341399Hy3 preview
LMArena Text: Russian12091399Hy3 preview
LMArena Text: multi-turn12061411Hy3 preview
LMArena Text: longer queries12171402Hy3 preview
LMArena Text: writing and language11981370Hy3 preview
LMArena Text: entertainment and media11621352Hy3 preview
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Phi 4 and Hy3 preview
BenchmarkPhi 4Hy3 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

Phi 4$0.0001Fits in one request
Hy3 preview$0.0005Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Phi 4$0.0039Exceeds the context window
Hy3 preview$0.011Fits in one request

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Phi 4$0.015Exceeds the context window
Hy3 preview$0.042Fits in one request

Phi 4 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 Phi 4 and Hy3 preview
SpecificationMicrosoft Phi 4Tencent Hy3 preview
MakerMicrosoftTencent
WeightsOpen weightsOpen weights
ReleasedJanuary 10, 2025April 22, 2026
Context window16K262K
Input $/Mtok$0.07$0.18
Output $/Mtok$0.14$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Phi 4 better than Hy3 preview for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Phi 4 has the edge where output tokens cost 4.3x less, and where what matters is Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, Phi 4 or Hy3 preview?

Phi 4 costs $0.07 per million input tokens and $0.14 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, Phi 4 or Hy3 preview?

Hy3 preview, with 262K tokens against 16K.

How many benchmarks is the Phi 4 vs Hy3 preview comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. Phi 4'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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