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GLM 4.5 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.

Replace GLM 4.5 Replace Hy3 preview
GLM 4.5Z.ai
Coding
64.2
Overall
12.8
Output $/M
$2.20
22
Hy3 previewTencent
Coding
22.4
Overall
25.3
Output $/M
$0.60
9
vs boards won of 31 shared

Decision reading

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 22.4 for Hy3 preview.

Pick Hy3 preview when output tokens cost 3.7x less, or when the context window is larger, 262K against 131K tokens.

Model AGLM 4.5Z.ai64.2/1001 independent benchmarkNo cost per solved taskModel BHy3 previewTencent22.4/1001 independent benchmarkNo cost per solved task
Shared results
31
GLM 4.5 only
29
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
GLM 4.5 64.2 from 1 benchmark, Hy3 preview 22.4 from 1 benchmark.
Widest category
Agentic work, 49.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.5 43.0% against Hy3 preview 92.7%, 49.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against Hy3 preview $0.60 per million output tokens, 3.7x apart.
Context window
GLM 4.5 takes 131K 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
CategoryGLM 4.5BarsHy3 previewTies
Coding21
Intelligence01
Agentic work01
Reasoning32
Math11
Knowledge40
General123
All shared boards229
CodingLike-for-likeFour of these boards feed the Vibe Coding Index21
Coding benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
SWE-bench Verified64.2%Not measuredOnly GLM 4.5 measured
LMArena WebDevNot measured1357Only Hy3 preview measured
AA Coding IndexNot measured58.8Only Hy3 preview measured
LiveCodeBench (Vals AI)67.5%Not measuredOnly GLM 4.5 measured
LiveCodeBench (Artificial Analysis run)73.8%Not measuredOnly GLM 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)22.0%34.1%Hy3 preview
WeirdML40.6%Not measuredOnly GLM 4.5 measured
ALE-Bench344.8Not measuredOnly GLM 4.5 measured
LMArena Text: coding14341421GLM 4.5
LMArena Text: software and IT14401423GLM 4.5
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTMLNot measured1356Only Hy3 preview measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
AA Intelligence Index12.825.3Hy3 preview
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
τ²-Bench Telecom43.0%92.7%Hy3 preview
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
GPQA Diamond72.2%Not measuredOnly GLM 4.5 measured
GPQA Diamond (Artificial Analysis run)78.2%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)13.0%27.8%Hy3 preview
LMArena Text: hard prompts14291413GLM 4.5
LMArena Text: expert14331422GLM 4.5
LMArena Text: hard prompts in English14291416GLM 4.5
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
AIME86.7%Not measuredOnly GLM 4.5 measured
MATH 500 (Vals AI)94.0%Not measuredOnly GLM 4.5 measured
MGSM (Vals AI)90.8%Not measuredOnly GLM 4.5 measured
AA Math Index73.7Not measuredOnly GLM 4.5 measured
AIME 2025 (Artificial Analysis run)73.7%Not measuredOnly GLM 4.5 measured
LMArena Text: math14271424GLM 4.5
LMArena Text: mathematical work14301442Hy3 preview
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
MMLU Pro81.2%Not measuredOnly GLM 4.5 measured
LegalBench (Vals AI)75.6%Not measuredOnly GLM 4.5 measured
CorpFin (Vals AI)61.0%Not measuredOnly GLM 4.5 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 4.5 measured
MedQA (Vals AI)90.0%Not measuredOnly GLM 4.5 measured
MMLU Pro (Artificial Analysis run)83.5%Not measuredOnly GLM 4.5 measured
LMArena Text: science14441416GLM 4.5
LMArena Text: medicine and healthcare14551405GLM 4.5
LMArena Text: legal and government14381430GLM 4.5
LMArena Text: business and finance14201397GLM 4.5
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
Design Arena: websites1170Not measuredOnly GLM 4.5 measured
Design Arena: UI components1144Not measuredOnly GLM 4.5 measured
Design Arena: game dev1145Not measuredOnly GLM 4.5 measured
Design Arena: data viz1159Not measuredOnly GLM 4.5 measured
Design Arena: 3D1170Not measuredOnly GLM 4.5 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.5 measured
Design Arena: SVG1096Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index123
General benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 previewLeader
IFBench44.1%63.1%Hy3 preview
Long context reasoning (AA-LCR)52.7%64.7%Hy3 preview
Creative writing (Lech Mazur)73.4%Not measuredOnly GLM 4.5 measured
LMArena Text14301401GLM 4.5
LMArena Text: instruction following14041383GLM 4.5
LMArena Text: creative writing13951339GLM 4.5
LMArena Text: English14371409GLM 4.5
LMArena Text: non-English14171390GLM 4.5
LMArena Text: Chinese14651435GLM 4.5
LMArena Text: German1407Not measuredOnly GLM 4.5 measured
LMArena Text: Japanese1415Not measuredOnly GLM 4.5 measured
LMArena Text: Korean1380Not measuredOnly GLM 4.5 measured
LMArena Text: French14181425Hy3 preview
LMArena Text: Spanish14541399GLM 4.5
LMArena Text: Russian14131399GLM 4.5
LMArena Text: Polish1422Not measuredOnly GLM 4.5 measured
LMArena Text: multi-turn14151411GLM 4.5
LMArena Text: longer queries14121402GLM 4.5
LMArena Text: writing and language14031370GLM 4.5
LMArena Text: entertainment and media14041352GLM 4.5
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 and Hy3 preview
BenchmarkGLM 4.5Hy3 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

GLM 4.5$0.0017Fits in one request
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
Hy3 preview$0.042Fits in one request

Hy3 preview 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 GLM 4.5 and Hy3 preview
SpecificationZ.ai GLM 4.5Tencent Hy3 preview
MakerZ.aiTencent
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025April 22, 2026
Context window131K262K
Input $/Mtok$0.60$0.18
Output $/Mtok$2.20$0.60
Coding index64.222.4
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than Hy3 preview for coding?

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 22.4 for Hy3 preview. Pick Hy3 preview when output tokens cost 3.7x less, or when the context window is larger, 262K against 131K tokens.

Which is cheaper, GLM 4.5 or Hy3 preview?

GLM 4.5 costs $0.60 per million input tokens and $2.20 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, GLM 4.5 or Hy3 preview?

Hy3 preview, with 262K tokens against 131K.

How many benchmarks is the GLM 4.5 vs Hy3 preview comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. GLM 4.5's coding index rests on 1 independent benchmark 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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