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GLM 5 vs MiniMax M1

GLM 5 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 27.9 to 11.7, and MiniMax M1 costs 1.5x less per output token ($2.20 vs $3.20 per million). Updated October 21, 2026; 29 benchmarks have a result for both.

Replace GLM 5 Replace MiniMax M1
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
29
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
vs boards won of 29 shared

GLM 5 or MiniMax M1: which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding.

Pick MiniMax M1 for output tokens 1.5x cheaper ($2.20 vs $3.20 per million) and a larger context window (1M against 205K tokens).

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BMiniMax M1MiniMaxNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
GLM 5 only
47
MiniMax M1 only
0
Like-for-like categories
6 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 41.7 from 3 benchmarks, MiniMax M1 not benchmarked.
Widest category
General, 20.2 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: GLM 5 1416 against MiniMax M1 1217, 33.2 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against MiniMax M1 $2.20 per million output tokens, 1.5x apart.
Context window
GLM 5 takes 205K tokens, MiniMax M1 1M.

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 M1Ties
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General170
All shared boards290
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev1435Not measuredOnly GLM 5 measured
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
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding14611359GLM 5
LMArena Text: software and IT14601359GLM 5
LMArena WebDev: React1424Not measuredOnly GLM 5 measured
LMArena WebDev: HTML1450Not measuredOnly GLM 5 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 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
AA Intelligence Index27.911.7GLM 5
Epoch Capabilities Index145.8Not measuredOnly GLM 5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
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 apps1146Not 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%Not measuredOnly GLM 5 measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
GPQA Diamond83.3%Not measuredOnly GLM 5 measured
GPQA Diamond (Artificial Analysis run)82.0%Not measuredOnly GLM 5 measured
Humanity's Last Exam (Artificial Analysis run)29.3%Not measuredOnly GLM 5 measured
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 prompts14521339GLM 5
LMArena Text: expert14541317GLM 5
LMArena Text: hard prompts in English14601353GLM 5
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 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 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math14401361GLM 5
LMArena Text: mathematical work14511363GLM 5
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
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
LMArena Text: science14601354GLM 5
LMArena Text: medicine and healthcare14551355GLM 5
LMArena Text: legal and government14531337GLM 5
LMArena Text: business and finance14301319GLM 5
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
Design Arena: websites1247Not measuredOnly GLM 5 measured
Design Arena: UI components1230Not measuredOnly GLM 5 measured
Design Arena: game dev1234Not measuredOnly GLM 5 measured
Design Arena: data viz1228Not measuredOnly GLM 5 measured
Design Arena: 3D1229Not measuredOnly GLM 5 measured
Design Arena: all code categories1246Not measuredOnly GLM 5 measured
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not 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 index170
General benchmarks for GLM 5 and MiniMax M1
BenchmarkGLM 5MiniMax M1Leader
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%Not measuredOnly GLM 5 measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461343GLM 5
LMArena Text: instruction following14281312GLM 5
LMArena Text: creative writing14381297GLM 5
LMArena Text: English14581363GLM 5
LMArena Text: non-English14301319GLM 5
LMArena Text: Chinese15111360GLM 5
LMArena Text: German14471350GLM 5
LMArena Text: Japanese14161217GLM 5
LMArena Text: Korean14231266GLM 5
LMArena Text: French14561370GLM 5
LMArena Text: Spanish14541353GLM 5
LMArena Text: Russian14361329GLM 5
LMArena Text: Polish14341329GLM 5
LMArena Text: multi-turn14561335GLM 5
LMArena Text: longer queries14461326GLM 5
LMArena Text: writing and language14371311GLM 5
LMArena Text: entertainment and media14261303GLM 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 M1
BenchmarkGLM 5MiniMax M1Leader
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 M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
MiniMax M1$0.102Fits in one request

MiniMax M1 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 M1
SpecificationZ.ai GLM 5MiniMax M1
MakerZ.aiMiniMax
WeightsOpen weightsNo public weights listed
ReleasedFebruary 11, 2026June 17, 2025
Context window205K1M
Input $/Mtok$1.00$0.40
Output $/Mtok$3.20$2.20
Coding index41.7Not benchmarked
Independent measurements behind it30
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than MiniMax M1 for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding. Pick MiniMax M1 for output tokens 1.5x cheaper ($2.20 vs $3.20 per million) and a larger context window (1M against 205K tokens).

Which is cheaper, GLM 5 or MiniMax M1?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or MiniMax M1?

MiniMax M1, with 1M tokens against 205K.

How many benchmarks is the GLM 5 vs MiniMax M1 comparison based on?

29 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 3 independent benchmarks and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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