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GLM 5 vs MiniMax M2

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 5 Replace MiniMax M2
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
44
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
0
vs boards won of 45 shared, 1 tied

Decision reading

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 45.3 for MiniMax M2.

Pick MiniMax M2 when output tokens cost 3.1x less.

Model AGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved taskModel BMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved task
Shared results
45
GLM 5 only
30
MiniMax M2 only
4
Like-for-like categories
8 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 5 59.7 from 2 benchmarks, MiniMax M2 45.3 from 2 benchmarks.
Widest category
Agentic work, 19.1 points apart on average over 2 shared benchmarks.
Widest single gap
Vending-Bench 2: GLM 5 $4,432 against MiniMax M2 $161, 26.7 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against MiniMax M2 $1.02 per million output tokens, 3.1x apart.
Context window
Both take 205K tokens.

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 5BarsMiniMax M2Ties
Coding70
Intelligence10
Agentic work20
Reasoning50
Math20
Knowledge40
Web design70
General1601 tie
All shared boards4401 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
SWE-bench Verified72.8%61.0%GLM 5
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev14351297GLM 5
LiveCodeBench (Vals AI)81.9%Not measuredOnly GLM 5 measured
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Vibe Code Bench (Vals AI)23.4%Not measuredOnly GLM 5 measured
LiveCodeBench (Artificial Analysis run)Not measured82.6%Only MiniMax M2 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%25.8%GLM 5
Terminal-Bench52.4%30.0%GLM 5
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611371GLM 5
LMArena Text: software and IT14601373GLM 5
LMArena WebDev: React1424Not measuredOnly GLM 5 measured
LMArena WebDev: HTML14501306GLM 5
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
AA Intelligence Index27.918.6GLM 5
Epoch Capabilities Index145.8Not measuredOnly GLM 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1152Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 measured
τ²-Bench Telecom98.2%86.8%GLM 5
Vending-Bench 2$4,432$161GLM 5
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 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
GPQA Diamond (Artificial Analysis run)82.0%77.7%GLM 5
Humanity's Last Exam (Artificial Analysis run)29.3%13.7%GLM 5
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts14521357GLM 5
LMArena Text: expert14541338GLM 5
LMArena Text: hard prompts in English14601376GLM 5
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 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
AIME91.7%Not measuredOnly GLM 5 measured
AA Math IndexNot measured78.3Only MiniMax M2 measured
AIME 2025 (Artificial Analysis run)Not measured78.3%Only MiniMax M2 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math14401351GLM 5
LMArena Text: mathematical work14511368GLM 5
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 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
MMLU Pro86.0%Not measuredOnly GLM 5 measured
LegalBench (Vals AI)84.1%Not measuredOnly GLM 5 measured
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%Not measuredOnly GLM 5 measured
TaxEval (Vals AI)70.0%Not measuredOnly GLM 5 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MMLU Pro (Artificial Analysis run)Not measured82.0%Only MiniMax M2 measured
LMArena Text: science14601348GLM 5
LMArena Text: medicine and healthcare14551367GLM 5
LMArena Text: legal and government14531349GLM 5
LMArena Text: business and finance14301336GLM 5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
Design Arena: websites12471144GLM 5
Design Arena: UI components12301136GLM 5
Design Arena: game dev12341119GLM 5
Design Arena: data viz12281140GLM 5
Design Arena: 3D12291098GLM 5
Design Arena: all code categories12461135GLM 5
Design Arena: SVG11681098GLM 5
Design Arena: ASCII art1146Not measuredOnly GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax M2Leader
IFBench72.3%72.3%Tie
Long context reasoning (AA-LCR)75.7%64.3%GLM 5
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461340GLM 5
LMArena Text: instruction following14281329GLM 5
LMArena Text: creative writing14381286GLM 5
LMArena Text: English14581364GLM 5
LMArena Text: non-English14301313GLM 5
LMArena Text: Chinese15111366GLM 5
LMArena Text: German14471357GLM 5
LMArena Text: Japanese1416Not measuredOnly GLM 5 measured
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French14561336GLM 5
LMArena Text: Spanish14541326GLM 5
LMArena Text: Russian14361330GLM 5
LMArena Text: Polish14341312GLM 5
LMArena Text: multi-turn14561361GLM 5
LMArena Text: longer queries14461331GLM 5
LMArena Text: writing and language14371295GLM 5
LMArena Text: entertainment and media14261298GLM 5
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and MiniMax M2
BenchmarkGLM 5MiniMax 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 5$0.0026Fits in one request
MiniMax M2$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds 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 5 and MiniMax M2
SpecificationZ.ai GLM 5MiniMax M2
MakerZ.aiMiniMax
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026October 23, 2025
Context window205K205K
Input $/Mtok$1.00$0.255
Output $/Mtok$3.20$1.02
Coding index59.745.3
Independent measurements behind it22
Cost per solved task$0.63$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than MiniMax M2 for coding?

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 45.3 for MiniMax M2. Pick MiniMax M2 when output tokens cost 3.1x less.

Which is cheaper, GLM 5 or MiniMax M2?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and MiniMax M2 $0.702.

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

Neither: both take 205K tokens.

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

45 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 2 independent benchmarks and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-vs-minimax-minimax-m2">LLMBenchmark.ai, GLM 5 vs MiniMax M2</a></p>