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GLM 5V Turbo vs Qwen3.5 397B A17B

GLM 5V Turbo leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 23.5 to 21.4, and Qwen3.5 397B A17B costs 1.7x less per output token ($2.34 vs $4.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Replace GLM 5V Turbo Replace Qwen3.5 397B A17B
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
25
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
29
vs boards won of 54 shared

GLM 5V Turbo or Qwen3.5 397B A17B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: software and IT, where it leads.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
54
GLM 5V Turbo only
11
Qwen3.5 397B A17B only
12
Like-for-like categories
8 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 5V Turbo not benchmarked, Qwen3.5 397B A17B not benchmarked.
Widest category
Web design, 5.4 points apart on average over 7 shared benchmarks.
Widest single gap
IFBench: GLM 5V Turbo 61.1% against Qwen3.5 397B A17B 78.8%, 17.7 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Qwen3.5 397B A17B $2.34 per million output tokens, 1.7x apart.
Context window
GLM 5V Turbo takes 203K tokens, Qwen3.5 397B A17B 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 397B A17BTies
Coding24
Intelligence10
Agentic work10
Reasoning25
Math02
Knowledge04
Web design70
General1214
All shared boards2529
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
LMArena WebDev14021400GLM 5V Turbo
SciCodeNot measured44.8%Only Qwen3.5 397B A17B measured
Terminal-Bench Hard (Artificial Analysis run)32.6%40.9%Qwen3.5 397B A17B
ALE-BenchNot measured621.9Only Qwen3.5 397B A17B measured
LMArena Text: coding14661464GLM 5V Turbo
LMArena Text: software and IT14601463Qwen3.5 397B A17B
LMArena WebDev: React13861388Qwen3.5 397B A17B
LMArena WebDev: HTML13561410Qwen3.5 397B A17B
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
AA Intelligence Index23.521.4GLM 5V Turbo
Epoch Capabilities IndexNot measured146.8Only Qwen3.5 397B A17B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
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 slides1060Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1126Not measuredOnly GLM 5V Turbo measured
τ²-Bench Telecom98.5%95.6%GLM 5V Turbo
APEX-AgentsNot measured24.9%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
GPQA Diamond (Artificial Analysis run)80.9%89.3%Qwen3.5 397B A17B
Humanity's Last Exam (Artificial Analysis run)17.1%29.0%Qwen3.5 397B A17B
GPQA Diamond (Epoch AI run)Not measured86.4%Only Qwen3.5 397B A17B measured
Mystery game puzzlesNot measured18.0%Only Qwen3.5 397B A17B measured
LMArena Text: hard prompts14431448Qwen3.5 397B A17B
LMArena Text: expert14531462Qwen3.5 397B A17B
LMArena Text: hard prompts in English14561450GLM 5V Turbo
LMArena Vision: diagrams12861277GLM 5V Turbo
LMArena Vision: homework12731292Qwen3.5 397B A17B
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 Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
OTIS Mock AIMENot measured88.9%Only Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 3Not measured31.2%Only Qwen3.5 397B A17B measured
LMArena Text: math14421453Qwen3.5 397B A17B
LMArena Text: mathematical work14471454Qwen3.5 397B A17B
MathArenaNot measured19.2%Only Qwen3.5 397B A17B measured
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
LMArena Text: science14481457Qwen3.5 397B A17B
LMArena Text: medicine and healthcare14331455Qwen3.5 397B A17B
LMArena Text: legal and government14361441Qwen3.5 397B A17B
LMArena Text: business and finance14351435Qwen3.5 397B A17B
Neither model has a result on the other 16 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
Design Arena: websites12301190GLM 5V Turbo
Design Arena: UI components12101161GLM 5V Turbo
Design Arena: game dev12181140GLM 5V Turbo
Design Arena: data viz12021175GLM 5V Turbo
Design Arena: 3D12081160GLM 5V Turbo
Design Arena: all code categories12271179GLM 5V Turbo
Design Arena: SVG11501139GLM 5V Turbo
Design Arena: ASCII art1116Not 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 index1214
General benchmarks for GLM 5V Turbo and Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
IFBench61.1%78.8%Qwen3.5 397B A17B
Long context reasoning (AA-LCR)70.3%77.3%Qwen3.5 397B A17B
DTBenchNot measured87.5%Only Qwen3.5 397B A17B measured
LMCANot measured37.9%Only Qwen3.5 397B A17B measured
LMArena Text14371437Qwen3.5 397B A17B
LMArena Text: instruction following14231424Qwen3.5 397B A17B
LMArena Text: creative writing14171402GLM 5V Turbo
LMArena Vision12641262GLM 5V Turbo
LMArena Text: English14541443GLM 5V Turbo
LMArena Text: non-English14201430Qwen3.5 397B A17B
LMArena Text: Chinese14911498Qwen3.5 397B A17B
LMArena Text: German14221445Qwen3.5 397B A17B
LMArena Text: JapaneseNot measured1429Only Qwen3.5 397B A17B measured
LMArena Text: Korean13971384GLM 5V Turbo
LMArena Text: French14431462Qwen3.5 397B A17B
LMArena Text: Spanish14521441GLM 5V Turbo
LMArena Text: Russian14321430GLM 5V Turbo
LMArena Text: Polish14321447Qwen3.5 397B A17B
LMArena Text: multi-turn14311446Qwen3.5 397B A17B
LMArena Text: longer queries14381441Qwen3.5 397B A17B
LMArena Text: writing and language14201415GLM 5V Turbo
LMArena Text: entertainment and media14071399GLM 5V Turbo
LMArena Vision: English12741268GLM 5V Turbo
LMArena Vision: Chinese13291314GLM 5V Turbo
LMArena Vision: reading text12701271Qwen3.5 397B A17B
LMArena Vision: humor12681262GLM 5V Turbo
LMArena Vision: captioning12641230GLM 5V Turbo
LMArena Vision: recognizing things12411265Qwen3.5 397B A17B
LMArena Vision: creative writing12521260Qwen3.5 397B A17B
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 Qwen3.5 397B A17B
BenchmarkGLM 5V TurboQwen3.5 397B A17BLeader
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 397B A17B$0.0016Fits in one request

Qwen3.5 397B A17B costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Qwen3.5 397B A17B$0.027Fits in one request

Qwen3.5 397B A17B costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Qwen3.5 397B A17B$0.101Fits in one request

Qwen3.5 397B A17B 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 397B A17B
SpecificationZ.ai GLM 5V TurboQwen3.5 397B A17B
MakerZ.aiQwen
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026February 16, 2026
Context window203K262K
Input $/Mtok$1.20$0.39
Output $/Mtok$4.00$2.34
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Qwen3.5 397B A17B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by Terminal-Bench Hard (Artificial Analysis run) or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 5V Turbo or Qwen3.5 397B A17B?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.5 397B A17B costs $0.39 and $2.34. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Qwen3.5 397B A17B?

Qwen3.5 397B A17B, with 262K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Qwen3.5 397B A17B comparison based on?

54 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3.5 397B A17B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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