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GLM 5 vs Hy3 preview

GLM 5 leads Hy3 preview on the Artificial Analysis Intelligence Index, 27.9 to 25.3, and Hy3 preview costs 5.3x less per output token ($0.60 vs $3.20 per million). Updated October 22, 2026; 34 benchmarks have a result for both.

GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
33
Hy3 previewTencent
Coding
No data
Overall
No data
Output $/M
$0.60
1
vs boards won of 34 shared

GLM 5 or Hy3 preview: which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding.

Pick Hy3 preview for output tokens 5.3x cheaper ($0.60 vs $3.20 per million) and a larger context window (262K against 205K tokens).

Shared results
34
GLM 5 only
42
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 5 41.7 from 3 benchmarks, Hy3 preview not benchmarked.
Widest category
Coding, 10.2 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena Text: creative writing: GLM 5 1438 against Hy3 preview 1339, 16.5 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Hy3 preview $0.60 per million output tokens, 5.3x apart.
Context window
GLM 5 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 5BarsHy3 previewTies
Coding60
Intelligence10
Agentic work10
Reasoning41
Math20
Knowledge40
General150
All shared boards331
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev14351357GLM 5
AA Coding IndexNot measured58.8Only Hy3 preview measured
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Vibe Code Bench (Vals AI)23.4%Not measuredOnly GLM 5 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%34.1%GLM 5
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611421GLM 5
LMArena Text: software and IT14601423GLM 5
LMArena WebDev: React14241349GLM 5
LMArena WebDev: HTML14501356GLM 5
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
AA Intelligence Index27.925.3GLM 5
Epoch Capabilities Index145.8Not measuredOnly GLM 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
AA Agentic IndexNot measured24.1Only Hy3 preview measured
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1147Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1098Not measuredOnly GLM 5 measured
τ²-Bench Telecom98.2%92.7%GLM 5
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
Reasoning benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
GPQA Diamond (Artificial Analysis run)82.0%86.7%Hy3 preview
Humanity's Last Exam (Artificial Analysis run)29.3%27.8%GLM 5
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts14521413GLM 5
LMArena Text: expert14541422GLM 5
LMArena Text: hard prompts in English14601416GLM 5
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math14401424GLM 5
LMArena Text: mathematical work14511442GLM 5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
LMArena Text: science14601416GLM 5
LMArena Text: medicine and healthcare14551405GLM 5
LMArena Text: legal and government14531430GLM 5
LMArena Text: business and finance14301397GLM 5
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
Design Arena: websites1247Not measuredOnly GLM 5 measured
Design Arena: UI components1227Not measuredOnly GLM 5 measured
Design Arena: game dev1234Not measuredOnly GLM 5 measured
Design Arena: data viz1228Not measuredOnly GLM 5 measured
Design Arena: 3D1228Not measuredOnly GLM 5 measured
Design Arena: all code categories1246Not measuredOnly GLM 5 measured
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not measuredOnly GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for GLM 5 and Hy3 preview
BenchmarkGLM 5Hy3 previewLeader
IFBench72.3%63.1%GLM 5
Long context reasoning (AA-LCR)75.7%64.7%GLM 5
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461401GLM 5
LMArena Text: instruction following14281383GLM 5
LMArena Text: creative writing14381339GLM 5
LMArena Text: English14581409GLM 5
LMArena Text: non-English14301390GLM 5
LMArena Text: Chinese15111435GLM 5
LMArena Text: German1447Not measuredOnly GLM 5 measured
LMArena Text: Japanese1416Not measuredOnly GLM 5 measured
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French14561425GLM 5
LMArena Text: Spanish14541399GLM 5
LMArena Text: Russian14361399GLM 5
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn14561411GLM 5
LMArena Text: longer queries14461402GLM 5
LMArena Text: writing and language14371370GLM 5
LMArena Text: entertainment and media14261352GLM 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 5 and Hy3 preview
BenchmarkGLM 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 5$0.0026Fits in one request
Hy3 preview$0.0005Fits in one request

Hy3 preview costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Hy3 preview$0.011Fits in one request

Hy3 preview costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds 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 5 and Hy3 preview
SpecificationZ.ai GLM 5Tencent Hy3 preview
MakerZ.aiTencent
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026April 22, 2026
Context window205K262K
Input $/Mtok$1.00$0.18
Output $/Mtok$3.20$0.60
Coding index41.7Not benchmarked
Independent measurements behind it31
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Hy3 preview for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Hy3 preview has none, so the two cannot be ranked on coding. Pick Hy3 preview for output tokens 5.3x cheaper ($0.60 vs $3.20 per million) and a larger context window (262K against 205K tokens).

Which is cheaper, GLM 5 or Hy3 preview?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Hy3 preview costs $0.18 and $0.60. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or Hy3 preview?

Hy3 preview, with 262K tokens against 205K.

How many benchmarks is the GLM 5 vs Hy3 preview comparison based on?

34 benchmarks have a result for both models as of October 22, 2026. GLM 5's coding index rests on 3 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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