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GLM 4.6 vs Hy3 preview

Hy3 preview leads GLM 4.6 on the Artificial Analysis Intelligence Index, 25.3 to 18.5, and Hy3 preview costs 3.7x less per output token ($0.60 vs $2.20 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

Replace GLM 4.6 Replace Hy3 preview
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
24
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
10
vs boards won of 34 shared

GLM 4.6 or Hy3 preview: which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding.

Pick Hy3 preview for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and a larger context window (262K against 205K tokens).

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BHy3 previewTencentNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
34
GLM 4.6 only
35
Hy3 preview only
2
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
GLM 4.6 8.8 from 2 benchmarks, Hy3 preview not benchmarked.
Widest category
Agentic work, 15.8 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GLM 4.6 43.4% against Hy3 preview 63.1%, 19.7 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Hy3 preview $0.60 per million output tokens, 3.7x apart.
Context window
GLM 4.6 takes 205K 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 4.6BarsHy3 previewTies
Coding24
Intelligence01
Agentic work01
Reasoning32
Math20
Knowledge40
General132
All shared boards2410
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev13411357Hy3 preview
AA Coding Index45.858.8Hy3 preview
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%34.1%Hy3 preview
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
ALE-Bench340.8Not measuredOnly GLM 4.6 measured
LMArena Text: coding14491421GLM 4.6
LMArena Text: software and IT14551423GLM 4.6
LMArena WebDev: ReactNot measured1349Only Hy3 preview measured
LMArena WebDev: HTML13501356Hy3 preview
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 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
AA Intelligence Index18.525.3Hy3 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 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1084Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
τ²-Bench Telecom76.9%92.7%Hy3 preview
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)14.5%27.8%Hy3 preview
LMArena Text: hard prompts14401413GLM 4.6
LMArena Text: expert14321422GLM 4.6
LMArena Text: hard prompts in English14451416GLM 4.6
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
LMArena Text: math14321424GLM 4.6
LMArena Text: mathematical work14471442GLM 4.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
LMArena Text: science14561416GLM 4.6
LMArena Text: medicine and healthcare14551405GLM 4.6
LMArena Text: legal and government14481430GLM 4.6
LMArena Text: business and finance14161397GLM 4.6
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
Design Arena: websites1174Not measuredOnly GLM 4.6 measured
Design Arena: UI components1145Not measuredOnly GLM 4.6 measured
Design Arena: game dev1150Not measuredOnly GLM 4.6 measured
Design Arena: data viz1161Not measuredOnly GLM 4.6 measured
Design Arena: 3D1128Not measuredOnly GLM 4.6 measured
Design Arena: all code categories1165Not measuredOnly GLM 4.6 measured
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index132
General benchmarks for GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 previewLeader
IFBench43.4%63.1%Hy3 preview
Long context reasoning (AA-LCR)54.0%64.7%Hy3 preview
LMArena Text14401401GLM 4.6
LMArena Text: instruction following14101383GLM 4.6
LMArena Text: creative writing14121339GLM 4.6
LMArena Text: English14491409GLM 4.6
LMArena Text: non-English14261390GLM 4.6
LMArena Text: Chinese14991435GLM 4.6
LMArena Text: German1447Not measuredOnly GLM 4.6 measured
LMArena Text: Japanese1393Not measuredOnly GLM 4.6 measured
LMArena Text: Korean1400Not measuredOnly GLM 4.6 measured
LMArena Text: French14591425GLM 4.6
LMArena Text: Spanish14361399GLM 4.6
LMArena Text: Russian14181399GLM 4.6
LMArena Text: Polish1447Not measuredOnly GLM 4.6 measured
LMArena Text: multi-turn14271411GLM 4.6
LMArena Text: longer queries14221402GLM 4.6
LMArena Text: writing and language14151370GLM 4.6
LMArena Text: entertainment and media14091352GLM 4.6
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 GLM 4.6 and Hy3 preview
BenchmarkGLM 4.6Hy3 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 4.6$0.0017Fits in one request
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$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 4.6 and Hy3 preview
SpecificationZ.ai GLM 4.6Tencent Hy3 preview
MakerZ.aiTencent
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025April 22, 2026
Context window205K262K
Input $/Mtok$0.60$0.18
Output $/Mtok$2.20$0.60
Coding index8.8Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Hy3 preview for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding. Pick Hy3 preview for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and a larger context window (262K against 205K tokens).

Which is cheaper, GLM 4.6 or Hy3 preview?

GLM 4.6 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 4.6 or Hy3 preview?

Hy3 preview, with 262K tokens against 205K.

How many benchmarks is the GLM 4.6 vs Hy3 preview comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 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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