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GLM 5V Turbo vs Hy3

Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5V Turbo Replace Hy3
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
15
Hy3Tencent
Coding
43.9
Overall
No data
Output $/M
$0.528
25
vs boards won of 41 shared, 1 tied

Decision reading

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.

Pick GLM 5V Turbo when what matters is LMArena Text: coding or LMArena Text: hard prompts in English, where it leads.

Model AGLM 5V TurboZ.ai28.8/1001 independent benchmarkNo cost per solved taskModel BHy3Tencent43.9/1001 independent benchmarkNo cost per solved task
Shared results
41
GLM 5V Turbo only
24
Hy3 only
3
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
GLM 5V Turbo 28.8 from 1 benchmark, Hy3 43.9 from 1 benchmark.
Widest category
Coding, 11.6 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: GLM 5V Turbo 1356 against Hy3 1487, 21.8 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Hy3 $0.528 per million output tokens, 7.6x apart.
Context window
GLM 5V Turbo takes 203K 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
CategoryGLM 5V TurboBarsHy3Ties
Coding14
Reasoning14
Math02
Knowledge22
Web design431 tie
General710
All shared boards15251 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index14
Coding benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
LMArena WebDev14021507Hy3
SciCodeNot measured48.6%Only Hy3 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly GLM 5V Turbo measured
ALE-BenchNot measured838.6Only Hy3 measured
LMArena Text: coding14661466GLM 5V Turbo
LMArena Text: software and IT14601463Hy3
LMArena WebDev: React13861511Hy3
LMArena WebDev: HTML13561487Hy3
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 29 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
AA Intelligence Index23.5Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1120Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1152Not measuredOnly GLM 5V Turbo measured
τ²-Bench Telecom98.5%Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
GPQA Diamond (Artificial Analysis run)80.9%89.7%Hy3
Humanity's Last Exam (Artificial Analysis run)17.1%33.5%Hy3
LMArena Text: hard prompts14431447Hy3
LMArena Text: expert14531461Hy3
LMArena Text: hard prompts in English14561455GLM 5V Turbo
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
LMArena Text: math14421473Hy3
LMArena Text: mathematical work14471482Hy3
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
LMArena Text: science14481457Hy3
LMArena Text: medicine and healthcare14331452Hy3
LMArena Text: legal and government14361422GLM 5V Turbo
LMArena Text: business and finance14351424GLM 5V Turbo
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
Design Arena: websites12301230Tie
Design Arena: UI components12131205GLM 5V Turbo
Design Arena: game dev12191208GLM 5V Turbo
Design Arena: data viz12021163GLM 5V Turbo
Design Arena: 3D12091233Hy3
Design Arena: all code categories12281227GLM 5V Turbo
Design Arena: SVG11511199Hy3
Design Arena: ASCII art11181157Hy3
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index710
General benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
IFBench61.1%Not measuredOnly GLM 5V Turbo measured
Long context reasoning (AA-LCR)70.3%79.0%Hy3
LMArena Text14371438Hy3
LMArena Text: instruction following14231426Hy3
LMArena Text: creative writing14171403GLM 5V Turbo
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541448GLM 5V Turbo
LMArena Text: non-English14201426Hy3
LMArena Text: Chinese14911485GLM 5V Turbo
LMArena Text: German14221449Hy3
LMArena Text: JapaneseNot measured1397Only Hy3 measured
LMArena Text: Korean13971396GLM 5V Turbo
LMArena Text: French14431456Hy3
LMArena Text: Spanish14521457Hy3
LMArena Text: Russian14321432GLM 5V Turbo
LMArena Text: Polish14321447Hy3
LMArena Text: multi-turn14311436Hy3
LMArena Text: longer queries14381442Hy3
LMArena Text: writing and language14201414GLM 5V Turbo
LMArena Text: entertainment and media14071400GLM 5V Turbo
LMArena Vision: English1274Not measuredOnly GLM 5V Turbo measured
LMArena Vision: Chinese1329Not measuredOnly GLM 5V Turbo measured
LMArena Vision: reading text1270Not measuredOnly GLM 5V Turbo measured
LMArena Vision: humor1268Not measuredOnly GLM 5V Turbo measured
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing1252Not measuredOnly GLM 5V Turbo measured
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and Hy3
BenchmarkGLM 5V TurboHy3Leader
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 5V Turbo$0.0032Fits in one request
Hy3$0.0004Fits in one request

Hy3 costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Hy3$0.0082Fits in one request

Hy3 costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Hy3$0.032Fits in one request

Hy3 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 5V Turbo and Hy3
SpecificationZ.ai GLM 5V TurboTencent Hy3
MakerZ.aiTencent
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026July 6, 2026
Context window203K262K
Input $/Mtok$1.20$0.132
Output $/Mtok$4.00$0.528
Coding index28.843.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Hy3 for coding?

Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when what matters is LMArena Text: coding or LMArena Text: hard prompts in English, where it leads.

Which is cheaper, GLM 5V Turbo or Hy3?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 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, GLM 5V Turbo or Hy3?

Hy3, with 262K tokens against 203K.

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

41 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo'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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