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GLM 5V Turbo vs Qwen3.5-122B-A10B

Updated October 21, 2026. 45 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 Qwen3.5-122B-A10B
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
39
Qwen3.5-122B-A10BQwen
Coding
22.9
Overall
17.7
Output $/M
$2.08
6
vs boards won of 45 shared

Decision reading

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B.

Pick Qwen3.5-122B-A10B 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 BQwen3.5-122B-A10BQwen22.9/1001 independent benchmarkNo cost per solved task
Shared results
45
GLM 5V Turbo only
20
Qwen3.5-122B-A10B 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, Qwen3.5-122B-A10B 22.9 from 1 benchmark.
Widest category
Intelligence, 5.8 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GLM 5V Turbo 61.1% against Qwen3.5-122B-A10B 75.7%, 14.6 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Qwen3.5-122B-A10B $2.08 per million output tokens, 1.9x apart.
Context window
GLM 5V Turbo takes 203K tokens, Qwen3.5-122B-A10B 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 TurboBarsQwen3.5-122B-A10BTies
Coding60
Intelligence10
Agentic work10
Reasoning52
Math20
Knowledge40
General204
All shared boards396
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for GLM 5V Turbo and Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
LMArena WebDev14021361GLM 5V Turbo
AA Coding IndexNot measured43.3Only Qwen3.5-122B-A10B measured
SciCodeNot measured39.7%Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)32.6%31.1%GLM 5V Turbo
LMArena Text: coding14661436GLM 5V Turbo
LMArena Text: software and IT14601436GLM 5V Turbo
LMArena WebDev: React13861353GLM 5V Turbo
LMArena WebDev: HTML13561351GLM 5V Turbo
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 Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
AA Intelligence Index23.517.7GLM 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 Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
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%93.6%GLM 5V Turbo
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
Reasoning benchmarks for GLM 5V Turbo and Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)80.9%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)17.1%25.2%Qwen3.5-122B-A10B
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14431421GLM 5V Turbo
LMArena Text: expert14531431GLM 5V Turbo
LMArena Text: hard prompts in English14561431GLM 5V Turbo
LMArena Vision: diagrams12861249GLM 5V Turbo
LMArena Vision: homework12731261GLM 5V Turbo
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
LMArena Text: math14421431GLM 5V Turbo
LMArena Text: mathematical work14471431GLM 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 Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
LMArena Text: science14481432GLM 5V Turbo
LMArena Text: medicine and healthcare14331423GLM 5V Turbo
LMArena Text: legal and government14361422GLM 5V Turbo
LMArena Text: business and finance14351414GLM 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 Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
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 index204
General benchmarks for GLM 5V Turbo and Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
IFBench61.1%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)70.3%76.3%Qwen3.5-122B-A10B
DTBenchNot measured84.3%Only Qwen3.5-122B-A10B measured
LMCANot measured32.2%Only Qwen3.5-122B-A10B measured
LMArena Text14371417GLM 5V Turbo
LMArena Text: instruction following14231399GLM 5V Turbo
LMArena Text: creative writing14171368GLM 5V Turbo
LMArena Vision12641244GLM 5V Turbo
LMArena Text: English14541428GLM 5V Turbo
LMArena Text: non-English14201401GLM 5V Turbo
LMArena Text: Chinese14911463GLM 5V Turbo
LMArena Text: German14221425Qwen3.5-122B-A10B
LMArena Text: JapaneseNot measured1367Only Qwen3.5-122B-A10B measured
LMArena Text: Korean13971353GLM 5V Turbo
LMArena Text: French14431443Qwen3.5-122B-A10B
LMArena Text: Spanish14521425GLM 5V Turbo
LMArena Text: Russian14321400GLM 5V Turbo
LMArena Text: Polish14321398GLM 5V Turbo
LMArena Text: multi-turn14311416GLM 5V Turbo
LMArena Text: longer queries14381410GLM 5V Turbo
LMArena Text: writing and language14201387GLM 5V Turbo
LMArena Text: entertainment and media14071366GLM 5V Turbo
LMArena Vision: English12741249GLM 5V Turbo
LMArena Vision: Chinese13291301GLM 5V Turbo
LMArena Vision: reading text12701251GLM 5V Turbo
LMArena Vision: humor12681243GLM 5V Turbo
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing12521220GLM 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 Qwen3.5-122B-A10B
BenchmarkGLM 5V TurboQwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Qwen3.5-122B-A10B costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Qwen3.5-122B-A10B costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Qwen3.5-122B-A10B$0.073Fits in one request

Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B
SpecificationZ.ai GLM 5V TurboQwen3.5-122B-A10B
MakerZ.aiQwen
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026February 25, 2026
Context window203K262K
Input $/Mtok$1.20$0.26
Output $/Mtok$4.00$2.08
Coding index28.822.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Qwen3.5-122B-A10B for coding?

Pick GLM 5V Turbo for coding: it scores 28.8 on the Vibe Coding Index against 22.9 for Qwen3.5-122B-A10B. Pick Qwen3.5-122B-A10B 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 Qwen3.5-122B-A10B?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B, with 262K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Qwen3.5-122B-A10B comparison based on?

45 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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