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GLM 5V Turbo vs MiniMax M2.7

GLM 5V Turbo leads MiniMax M2.7 on the Artificial Analysis Intelligence Index, 23.5 to 22.8, and MiniMax M2.7 costs 3.3x less per output token ($1.20 vs $4.00 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace GLM 5V Turbo Replace MiniMax M2.7
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
34
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
11
vs boards won of 45 shared

GLM 5V Turbo or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
45
GLM 5V Turbo only
20
MiniMax M2.7 only
29
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 M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 13.7 points apart on average over 1 shared benchmark.
Widest single gap
IFBench: GLM 5V Turbo 61.1% against MiniMax M2.7 75.7%, 14.6 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against MiniMax M2.7 $1.20 per million output tokens, 3.3x apart.
Context window
GLM 5V Turbo takes 203K tokens, MiniMax M2.7 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 M2.7Ties
Coding33
Intelligence10
Agentic work10
Reasoning32
Math20
Knowledge40
Web design44
General162
All shared boards3411
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
LMArena WebDev14021399GLM 5V Turbo
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)32.6%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding14661454GLM 5V Turbo
LMArena Text: software and IT14601446GLM 5V Turbo
LMArena WebDev: React13861388MiniMax M2.7
LMArena WebDev: HTML13561401MiniMax M2.7
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
AA Intelligence Index23.522.8GLM 5V Turbo
Epoch Capabilities IndexNot measured145.8Only MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
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
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom98.5%84.8%GLM 5V Turbo
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)80.9%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)17.1%29.6%MiniMax M2.7
LMArena Text: hard prompts14431422GLM 5V Turbo
LMArena Text: expert14531443GLM 5V Turbo
LMArena Text: hard prompts in English14561441GLM 5V Turbo
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo 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 M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math14421421GLM 5V Turbo
LMArena Text: mathematical work14471437GLM 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 M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
LMArena Text: science14481416GLM 5V Turbo
LMArena Text: medicine and healthcare14331409GLM 5V Turbo
LMArena Text: legal and government14361403GLM 5V Turbo
LMArena Text: business and finance14351407GLM 5V Turbo
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
Design Arena: websites12301242MiniMax M2.7
Design Arena: UI components12101207GLM 5V Turbo
Design Arena: game dev12181209GLM 5V Turbo
Design Arena: data viz12021233MiniMax M2.7
Design Arena: 3D12081194GLM 5V Turbo
Design Arena: all code categories12271233MiniMax M2.7
Design Arena: SVG11501137GLM 5V Turbo
Design Arena: ASCII art11161136MiniMax M2.7
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index162
General benchmarks for GLM 5V Turbo and MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench61.1%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)70.3%78.3%MiniMax M2.7
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14371405GLM 5V Turbo
LMArena Text: instruction following14231405GLM 5V Turbo
LMArena Text: creative writing14171354GLM 5V Turbo
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541426GLM 5V Turbo
LMArena Text: non-English14201382GLM 5V Turbo
LMArena Text: Chinese14911442GLM 5V Turbo
LMArena Text: German14221398GLM 5V Turbo
LMArena Text: JapaneseNot measured1260Only MiniMax M2.7 measured
LMArena Text: Korean13971314GLM 5V Turbo
LMArena Text: French14431424GLM 5V Turbo
LMArena Text: Spanish14521402GLM 5V Turbo
LMArena Text: Russian14321383GLM 5V Turbo
LMArena Text: Polish14321387GLM 5V Turbo
LMArena Text: multi-turn14311412GLM 5V Turbo
LMArena Text: longer queries14381418GLM 5V Turbo
LMArena Text: writing and language14201376GLM 5V Turbo
LMArena Text: entertainment and media14071360GLM 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 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 MiniMax M2.7
BenchmarkGLM 5V TurboMiniMax M2.7Leader
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 M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 M2.7
SpecificationZ.ai GLM 5V TurboMiniMax M2.7
MakerZ.aiMiniMax
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026March 18, 2026
Context window203K205K
Input $/Mtok$1.20$0.30
Output $/Mtok$4.00$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it13
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, GLM 5V Turbo or MiniMax M2.7?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, GLM 5V Turbo or MiniMax M2.7?

MiniMax M2.7, with 205K tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs MiniMax M2.7 comparison based on?

45 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 M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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