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GLM 5V Turbo vs MiniMax M2

GLM 5V Turbo leads MiniMax M2 on the Artificial Analysis Intelligence Index, 23.5 to 18.6, and MiniMax M2 costs 3.9x less per output token ($1.02 vs $4.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace GLM 5V Turbo Replace MiniMax M2
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
41
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
1
vs boards won of 42 shared

GLM 5V Turbo or MiniMax M2: 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 IFBench, where it leads.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved task
Shared results
42
GLM 5V Turbo only
23
MiniMax M2 only
8
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, MiniMax M2 not benchmarked.
Widest category
General, 16.5 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: creative writing: GLM 5V Turbo 1417 against MiniMax M2 1286, 21.9 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against MiniMax M2 $1.02 per million output tokens, 3.9x apart.
Context window
GLM 5V Turbo takes 203K tokens, MiniMax M2 205K.

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 TurboBarsMiniMax M2Ties
Coding50
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
Web design70
General161
All shared boards411
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LMArena WebDev14021297GLM 5V Turbo
LiveCodeBench (Artificial Analysis run)Not measured82.6%Only MiniMax M2 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%25.8%GLM 5V Turbo
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
LMArena Text: coding14661371GLM 5V Turbo
LMArena Text: software and IT14601373GLM 5V Turbo
LMArena WebDev: React1386Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: HTML13561306GLM 5V Turbo
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
AA Intelligence Index23.518.6GLM 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 MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
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%86.8%GLM 5V Turbo
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
GPQA Diamond (Artificial Analysis run)80.9%77.7%GLM 5V Turbo
Humanity's Last Exam (Artificial Analysis run)17.1%13.7%GLM 5V Turbo
LMArena Text: hard prompts14431357GLM 5V Turbo
LMArena Text: expert14531338GLM 5V Turbo
LMArena Text: hard prompts in English14561376GLM 5V Turbo
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo measured
Kagi LLM BenchmarkNot measured57.8%Only MiniMax M2 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 measured
LMArena Text: math14421351GLM 5V Turbo
LMArena Text: mathematical work14471368GLM 5V Turbo
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
LMArena Text: science14481348GLM 5V Turbo
LMArena Text: medicine and healthcare14331367GLM 5V Turbo
LMArena Text: legal and government14361349GLM 5V Turbo
LMArena Text: business and finance14351336GLM 5V Turbo
Neither model has a result on the other 15 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
Design Arena: websites12301143GLM 5V Turbo
Design Arena: UI components12101134GLM 5V Turbo
Design Arena: game dev12181118GLM 5V Turbo
Design Arena: data viz12021140GLM 5V Turbo
Design Arena: 3D12081098GLM 5V Turbo
Design Arena: all code categories12271135GLM 5V Turbo
Design Arena: SVG11501100GLM 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 index161
General benchmarks for GLM 5V Turbo and MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
IFBench61.1%72.3%MiniMax M2
Long context reasoning (AA-LCR)70.3%64.3%GLM 5V Turbo
LMArena Text14371340GLM 5V Turbo
LMArena Text: instruction following14231329GLM 5V Turbo
LMArena Text: creative writing14171286GLM 5V Turbo
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541364GLM 5V Turbo
LMArena Text: non-English14201313GLM 5V Turbo
LMArena Text: Chinese14911366GLM 5V Turbo
LMArena Text: German14221357GLM 5V Turbo
LMArena Text: Korean1397Not measuredOnly GLM 5V Turbo measured
LMArena Text: French14431336GLM 5V Turbo
LMArena Text: Spanish14521326GLM 5V Turbo
LMArena Text: Russian14321330GLM 5V Turbo
LMArena Text: Polish14321312GLM 5V Turbo
LMArena Text: multi-turn14311361GLM 5V Turbo
LMArena Text: longer queries14381331GLM 5V Turbo
LMArena Text: writing and language14201295GLM 5V Turbo
LMArena Text: entertainment and media14071298GLM 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 21 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 MiniMax M2
BenchmarkGLM 5V TurboMiniMax M2Leader
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
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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 MiniMax M2
SpecificationZ.ai GLM 5V TurboMiniMax M2
MakerZ.aiMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026October 23, 2025
Context window203K205K
Input $/Mtok$1.20$0.255
Output $/Mtok$4.00$1.02
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than MiniMax M2 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 IFBench, where it leads.

Which is cheaper, GLM 5V Turbo or MiniMax M2?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, GLM 5V Turbo or MiniMax M2?

MiniMax M2, with 205K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs MiniMax M2 comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.

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