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GLM 5V Turbo vs Qwen3.5-27B

Updated October 21, 2026. 47 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 Qwen3.5-27B
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
41
Qwen3.5-27BQwen
Coding
22.6
Overall
22.9
Output $/M
$2.16
5
vs boards won of 47 shared, 1 tied

Decision reading

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.

Pick Qwen3.5-27B when output tokens cost 1.9x less, or when the context window is larger, 262K against 203K tokens.

Model AGLM 5V TurboZ.ai28.8/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-27BQwen22.6/1001 independent benchmarkNo cost per solved task
Shared results
47
GLM 5V Turbo only
18
Qwen3.5-27B only
6
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 5V Turbo 28.8 from 1 benchmark, Qwen3.5-27B 22.6 from 1 benchmark.
Widest category
General, 6.3 points apart on average over 26 shared benchmarks.
Widest single gap
LMArena Vision: captioning: GLM 5V Turbo 1264 against Qwen3.5-27B 1170, 15.7 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Qwen3.5-27B $2.16 per million output tokens, 1.9x apart.
Context window
GLM 5V Turbo takes 203K tokens, Qwen3.5-27B 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 TurboBarsQwen3.5-27BTies
Coding411 tie
Intelligence10
Agentic work10
Reasoning52
Math20
Knowledge40
General242
All shared boards4151 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index41
Coding benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
LMArena WebDev14021358GLM 5V Turbo
Terminal-Bench Hard (Artificial Analysis run)32.6%32.6%Tie
WeirdMLNot measured39.5%Only Qwen3.5-27B measured
ALE-BenchNot measured349.4Only Qwen3.5-27B measured
LMArena Text: coding14661427GLM 5V Turbo
LMArena Text: software and IT14601431GLM 5V Turbo
LMArena WebDev: React13861346GLM 5V Turbo
LMArena WebDev: HTML13561386Qwen3.5-27B
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
AA Intelligence Index23.522.9GLM 5V Turbo
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
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%93.9%GLM 5V Turbo
Vending-Bench 2Not measured$202Only Qwen3.5-27B measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
GPQA Diamond (Artificial Analysis run)80.9%85.8%Qwen3.5-27B
Humanity's Last Exam (Artificial Analysis run)17.1%23.9%Qwen3.5-27B
LMArena Text: hard prompts14431415GLM 5V Turbo
LMArena Text: expert14531427GLM 5V Turbo
LMArena Text: hard prompts in English14561429GLM 5V Turbo
LMArena Vision: diagrams12861249GLM 5V Turbo
LMArena Vision: homework12731256GLM 5V Turbo
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
LMArena Text: math14421429GLM 5V Turbo
LMArena Text: mathematical work14471429GLM 5V Turbo
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
LMArena Text: science14481437GLM 5V Turbo
LMArena Text: medicine and healthcare14331425GLM 5V Turbo
LMArena Text: legal and government14361405GLM 5V Turbo
LMArena Text: business and finance14351399GLM 5V Turbo
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
Design Arena: websites1230Not measuredOnly GLM 5V Turbo measured
Design Arena: UI components1213Not measuredOnly GLM 5V Turbo measured
Design Arena: game dev1219Not measuredOnly GLM 5V Turbo measured
Design Arena: data viz1202Not measuredOnly GLM 5V Turbo measured
Design Arena: 3D1209Not measuredOnly GLM 5V Turbo measured
Design Arena: all code categories1228Not measuredOnly GLM 5V Turbo measured
Design Arena: SVG1151Not measuredOnly GLM 5V Turbo measured
Design Arena: ASCII art1118Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index242
General benchmarks for GLM 5V Turbo and Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
IFBench61.1%75.6%Qwen3.5-27B
Long context reasoning (AA-LCR)70.3%77.7%Qwen3.5-27B
DTBenchNot measured82.4%Only Qwen3.5-27B measured
LMCANot measured34.0%Only Qwen3.5-27B measured
LMArena Text14371409GLM 5V Turbo
LMArena Text: instruction following14231393GLM 5V Turbo
LMArena Text: creative writing14171362GLM 5V Turbo
LMArena Vision12641241GLM 5V Turbo
LMArena Text: English14541425GLM 5V Turbo
LMArena Text: non-English14201390GLM 5V Turbo
LMArena Text: Chinese14911478GLM 5V Turbo
LMArena Text: German14221392GLM 5V Turbo
LMArena Text: JapaneseNot measured1346Only Qwen3.5-27B measured
LMArena Text: Korean13971359GLM 5V Turbo
LMArena Text: French14431410GLM 5V Turbo
LMArena Text: Spanish14521407GLM 5V Turbo
LMArena Text: Russian14321390GLM 5V Turbo
LMArena Text: Polish14321375GLM 5V Turbo
LMArena Text: multi-turn14311410GLM 5V Turbo
LMArena Text: longer queries14381413GLM 5V Turbo
LMArena Text: writing and language14201380GLM 5V Turbo
LMArena Text: entertainment and media14071363GLM 5V Turbo
LMArena Vision: English12741246GLM 5V Turbo
LMArena Vision: Chinese13291301GLM 5V Turbo
LMArena Vision: reading text12701246GLM 5V Turbo
LMArena Vision: humor12681227GLM 5V Turbo
LMArena Vision: captioning12641170GLM 5V Turbo
LMArena Vision: recognizing things12411210GLM 5V Turbo
LMArena Vision: creative writing12521224GLM 5V Turbo
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 16 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 Qwen3.5-27B
BenchmarkGLM 5V TurboQwen3.5-27BLeader
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
Qwen3.5-27B$0.0014Fits in one request

Qwen3.5-27B costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Qwen3.5-27B$0.020Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Qwen3.5-27B$0.076Fits in one request

Qwen3.5-27B 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 Qwen3.5-27B
SpecificationZ.ai GLM 5V TurboQwen3.5-27B
MakerZ.aiQwen
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026February 25, 2026
Context window203K262K
Input $/Mtok$1.20$0.27
Output $/Mtok$4.00$2.16
Coding index28.822.6
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Qwen3.5-27B for coding?

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when output tokens cost 1.9x less, or when the context window is larger, 262K against 203K tokens.

Which is cheaper, GLM 5V Turbo or Qwen3.5-27B?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.5-27B costs $0.27 and $2.16. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Qwen3.5-27B?

Qwen3.5-27B, with 262K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Qwen3.5-27B comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3.5-27B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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