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GLM 5.1 vs GLM 5V Turbo

GLM 5.1 leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 26.1 to 23.5, at about the same output price ($4.40 vs $4.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
51
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
2
vs boards won of 53 shared

GLM 5.1 or GLM 5V Turbo: which to pick

Only GLM 5.1 has a coding score, 49.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for output tokens 1.1x cheaper ($4.00 vs $4.40 per million) and work measured by Design Arena: agents building Android apps or τ²-Bench Telecom, where it leads.

Shared results
53
GLM 5.1 only
36
GLM 5V Turbo 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 5.1 49.2 from 3 benchmarks, GLM 5V Turbo not benchmarked.
Widest category
Coding, 13.0 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: GLM 5.1 1508 against GLM 5V Turbo 1356, 25.3 points apart on a 0 to 100 scale.
Output price
GLM 5.1 $4.40 against GLM 5V Turbo $4.00 per million output tokens, 1.1x apart.
Context window
GLM 5.1 takes 205K tokens, GLM 5V Turbo 203K.

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 5.1BarsGLM 5V TurboTies
Coding60
Intelligence10
Agentic work72
Reasoning50
Math20
Knowledge40
Web design80
General180
All shared boards512
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
LMArena WebDev15081402GLM 5.1
AA Coding Index55.8Not measuredOnly GLM 5.1 measured
LiveCodeBench (Vals AI)81.4%Not measuredOnly GLM 5.1 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly GLM 5.1 measured
Vibe Code Bench (Vals AI)31.5%Not measuredOnly GLM 5.1 measured
Code migration (Vals AI)25.8%Not measuredOnly GLM 5.1 measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.1 measured
Terminal-Bench 2.1 (Vals AI)56.9%Not measuredOnly GLM 5.1 measured
SciCode44.8%Not measuredOnly GLM 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%32.6%GLM 5.1
WeirdML57.1%Not measuredOnly GLM 5.1 measured
ALE-Bench887.1Not measuredOnly GLM 5.1 measured
LMArena Text: coding14851466GLM 5.1
LMArena Text: software and IT14841460GLM 5.1
LMArena WebDev: React15051386GLM 5.1
LMArena WebDev: HTML15081356GLM 5.1
LMArena WebDev: from an imageNot measured1425Only GLM 5V Turbo measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
AA Intelligence Index26.123.5GLM 5.1
Epoch Capabilities Index149.8Not measuredOnly GLM 5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
Agentic work benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
AA Agentic Index23.9Not measuredOnly GLM 5.1 measured
Design Arena: agents building web apps11751124GLM 5.1
Design Arena: agents building full-stack apps11671149GLM 5.1
Design Arena: agents building mobile apps11621134GLM 5.1
Design Arena: agents building Android apps11821267GLM 5V Turbo
Design Arena: agents building Godot games1053957GLM 5.1
Design Arena: agents building games11641102GLM 5.1
Design Arena: HTML slides11201070GLM 5.1
Design Arena: PowerPoint slides11631127GLM 5.1
Design Arena: spreadsheets1315Not measuredOnly GLM 5.1 measured
Finance Agent (Vals AI)44.8%Not measuredOnly GLM 5.1 measured
Legal Research Bench (Vals AI)27.9%Not measuredOnly GLM 5.1 measured
τ²-Bench Telecom97.7%98.5%GLM 5V Turbo
APEX-Agents40.9%Not measuredOnly GLM 5.1 measured
Vending-Bench 2$5,634Not measuredOnly GLM 5.1 measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
GPQA Diamond84.5%Not measuredOnly GLM 5.1 measured
GPQA Diamond (Artificial Analysis run)86.8%80.9%GLM 5.1
Humanity's Last Exam (Artificial Analysis run)30.1%17.1%GLM 5.1
GPQA Diamond (Epoch AI run)89.9%Not measuredOnly GLM 5.1 measured
SimpleBench55.1%Not measuredOnly GLM 5.1 measured
Chess puzzles20.0%Not measuredOnly GLM 5.1 measured
LMArena Text: hard prompts14731443GLM 5.1
LMArena Text: expert14781453GLM 5.1
LMArena Text: hard prompts in English14821456GLM 5.1
LMArena Vision: diagramsNot measured1286Only GLM 5V Turbo measured
LMArena Vision: homeworkNot measured1273Only GLM 5V Turbo 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 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
AIME91.9%Not measuredOnly GLM 5.1 measured
OTIS Mock AIME93.3%Not measuredOnly GLM 5.1 measured
FrontierMath, tiers 1 to 336.8%Not measuredOnly GLM 5.1 measured
ProofBench22.2%Not measuredOnly GLM 5.1 measured
LMArena Text: math14731442GLM 5.1
LMArena Text: mathematical work14701447GLM 5.1
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
MMLU Pro86.9%Not measuredOnly GLM 5.1 measured
LegalBench (Vals AI)84.4%Not measuredOnly GLM 5.1 measured
CaseLaw (Vals AI)51.5%Not measuredOnly GLM 5.1 measured
CorpFin (Vals AI)64.5%Not measuredOnly GLM 5.1 measured
TaxEval (Vals AI)71.2%Not measuredOnly GLM 5.1 measured
MedCode (Vals AI)41.6%Not measuredOnly GLM 5.1 measured
SimpleQA Verified34.0%Not measuredOnly GLM 5.1 measured
LMArena Text: science14781448GLM 5.1
LMArena Text: medicine and healthcare14741433GLM 5.1
LMArena Text: legal and government14651436GLM 5.1
LMArena Text: business and finance14521435GLM 5.1
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
Design Arena: websites12901230GLM 5.1
Design Arena: UI components12921210GLM 5.1
Design Arena: game dev12651218GLM 5.1
Design Arena: data viz13661202GLM 5.1
Design Arena: 3D13361208GLM 5.1
Design Arena: all code categories12681228GLM 5.1
Design Arena: SVG12181151GLM 5.1
Design Arena: ASCII art11411117GLM 5.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
Public Benefits Bench (Vals AI)61.8%Not measuredOnly GLM 5.1 measured
MedScribe (Vals AI)72.3%Not measuredOnly GLM 5.1 measured
IFBench76.3%61.1%GLM 5.1
Long context reasoning (AA-LCR)73.7%70.3%GLM 5.1
ExploitBench18.1%Not measuredOnly GLM 5.1 measured
LMArena Text14631437GLM 5.1
LMArena Text: instruction following14531423GLM 5.1
LMArena Text: creative writing14531417GLM 5.1
LMArena VisionNot measured1264Only GLM 5V Turbo measured
LMArena Text: English14761454GLM 5.1
LMArena Text: non-English14481420GLM 5.1
LMArena Text: Chinese15151491GLM 5.1
LMArena Text: German14671422GLM 5.1
LMArena Text: Japanese1435Not measuredOnly GLM 5.1 measured
LMArena Text: Korean14241397GLM 5.1
LMArena Text: French14701443GLM 5.1
LMArena Text: Spanish14681452GLM 5.1
LMArena Text: Russian14541432GLM 5.1
LMArena Text: Polish14491432GLM 5.1
LMArena Text: multi-turn14731431GLM 5.1
LMArena Text: longer queries14671438GLM 5.1
LMArena Text: writing and language14541420GLM 5.1
LMArena Text: entertainment and media14421407GLM 5.1
LMArena Vision: EnglishNot measured1274Only GLM 5V Turbo measured
LMArena Vision: ChineseNot measured1329Only GLM 5V Turbo measured
LMArena Vision: reading textNot measured1270Only GLM 5V Turbo measured
LMArena Vision: humorNot measured1268Only GLM 5V Turbo measured
LMArena Vision: captioningNot measured1264Only GLM 5V Turbo measured
LMArena Vision: recognizing thingsNot measured1241Only GLM 5V Turbo measured
LMArena Vision: creative writingNot measured1252Only GLM 5V Turbo measured
LMArena DocumentNot measured1416Only GLM 5V Turbo measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.1 and GLM 5V Turbo
BenchmarkGLM 5.1GLM 5V TurboLeader
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 5.1$0.0036Fits in one request
GLM 5V Turbo$0.0032Fits in one request

GLM 5V Turbo costs less

Repository review

50K input + 3K output tokens

GLM 5.1$0.083Fits in one request
GLM 5V Turbo$0.072Fits in one request

GLM 5V Turbo costs less

Agent loop

200K input + 10K output tokens

GLM 5.1$0.324Exceeds the context window
GLM 5V Turbo$0.280Exceeds the context window

GLM 5V Turbo 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 5.1 and GLM 5V Turbo
SpecificationZ.ai GLM 5.1Z.ai GLM 5V Turbo
MakerZ.aiZ.ai
WeightsOpen weightsNo public weights listed
ReleasedApril 7, 2026April 1, 2026
Context window205K203K
Input $/Mtok$1.40$1.20
Output $/Mtok$4.40$4.00
Coding index49.2Not benchmarked
Independent measurements behind it31
Cost per solved task$0.60Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.1 better than GLM 5V Turbo for coding?

Only GLM 5.1 has a coding score, 49.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for output tokens 1.1x cheaper ($4.00 vs $4.40 per million) and work measured by Design Arena: agents building Android apps or τ²-Bench Telecom, where it leads.

Which is cheaper, GLM 5.1 or GLM 5V Turbo?

GLM 5.1 costs $1.40 per million input tokens and $4.40 per million output tokens; GLM 5V Turbo costs $1.20 and $4.00. Cost per solved task is known for GLM 5.1 only.

Which has the bigger context window, GLM 5.1 or GLM 5V Turbo?

GLM 5.1, with 205K tokens against 203K.

How many benchmarks is the GLM 5.1 vs GLM 5V Turbo comparison based on?

53 benchmarks have a result for both models as of October 22, 2026. GLM 5.1's coding index rests on 3 independent benchmarks and GLM 5V Turbo's on 1. Where only one model has a result, the page says so instead of naming a winner.

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