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GLM 4.6 vs MiniMax M3

MiniMax M3 leads GLM 4.6 on coding, 39.2 to 8.8 on the Vibe Coding Index, and MiniMax M3 costs 1.8x less per output token ($1.20 vs $2.20 per million). Updated October 22, 2026; 56 benchmarks have a result for both.

Replace GLM 4.6 Replace MiniMax M3
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
16
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
40
vs boards won of 56 shared

GLM 4.6 or MiniMax M3: which to pick

Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for work measured by LMArena Text: math or LMArena Text: science, where it leads.

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
56
GLM 4.6 only
13
MiniMax M3 only
60
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 4.6 8.8 from 2 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Coding, 13.9 points apart on average over 9 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 4.6 3.1% against MiniMax M3 47.6%, 44.5 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against MiniMax M3 $1.20 per million output tokens, 1.8x apart.
Context window
GLM 4.6 takes 205K tokens, MiniMax M3 1.05M.

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 4.6BarsMiniMax M3Ties
Coding09
Intelligence01
Agentic work04
Reasoning06
Math11
Knowledge35
Web design07
General127
All shared boards1640
CodingLike-for-likeSix of these boards feed the Vibe Coding Index09
Coding benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDev13411482MiniMax M3
AA Coding Index45.858.6MiniMax M3
LiveCodeBench (Vals AI)81.0%82.2%MiniMax M3
SWE-bench Verified (Vals AI)Not measured75.0%Only MiniMax M3 measured
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)3.1%47.6%MiniMax M3
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%42.4%MiniMax M3
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
ALE-Bench340.8640.0MiniMax M3
LMArena Text: coding14491470MiniMax M3
LMArena Text: software and IT14551466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTML13501455MiniMax M3
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
AA Intelligence Index18.529.2MiniMax M3
Epoch Capabilities IndexNot measured146.9Only MiniMax M3 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack apps10291197MiniMax M3
Design Arena: agents building mobile apps10961169MiniMax M3
Design Arena: agents building Android apps10841159MiniMax M3
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom76.9%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
GPQA Diamond74.5%92.7%MiniMax M3
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)Not measured81.2%Only MiniMax M3 measured
GPQA Diamond (Artificial Analysis run)78.0%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)14.5%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)Not measured90.9%Only MiniMax M3 measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzlesNot measured13.0%Only MiniMax M3 measured
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts14401447MiniMax M3
LMArena Text: expert14321461MiniMax M3
LMArena Text: hard prompts in English14451455MiniMax M3
LMArena Vision: diagramsNot measured1266Only MiniMax M3 measured
LMArena Vision: homeworkNot measured1268Only MiniMax M3 measured
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
OTIS Mock AIMENot measured71.1%Only MiniMax M3 measured
ProofBenchNot measured18.0%Only MiniMax M3 measured
LMArena Text: math14321429GLM 4.6
LMArena Text: mathematical work14471448MiniMax M3
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index35
Knowledge benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
MMLU Pro82.2%84.2%MiniMax M3
LegalBench (Vals AI)79.6%85.4%MiniMax M3
CorpFin (Vals AI)56.8%68.1%MiniMax M3
TaxEval (Vals AI)66.2%72.7%MiniMax M3
MortgageTax (Vals AI)Not measured68.4%Only MiniMax M3 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
LMArena Text: science14561452GLM 4.6
LMArena Text: medicine and healthcare14551441GLM 4.6
LMArena Text: legal and government14481437GLM 4.6
LMArena Text: business and finance14161434MiniMax M3
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
Design Arena: websites11741257MiniMax M3
Design Arena: UI components11451242MiniMax M3
Design Arena: game dev11501210MiniMax M3
Design Arena: data viz11611236MiniMax M3
Design Arena: 3D11281208MiniMax M3
Design Arena: all code categories11651247MiniMax M3
Design Arena: SVG11081161MiniMax M3
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index127
General benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)Not measured50.6%Only MiniMax M3 measured
MedScribe (Vals AI)Not measured87.3%Only MiniMax M3 measured
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench43.4%82.9%MiniMax M3
Long context reasoning (AA-LCR)54.0%83.0%MiniMax M3
DTBenchNot measured78.9%Only MiniMax M3 measured
LMCANot measured33.7%Only MiniMax M3 measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text14401433GLM 4.6
LMArena Text: instruction following14101433MiniMax M3
LMArena Text: creative writing14121404GLM 4.6
LMArena VisionNot measured1251Only MiniMax M3 measured
LMArena Text: English14491443GLM 4.6
LMArena Text: non-English14261420GLM 4.6
LMArena Text: Chinese14991466GLM 4.6
LMArena Text: German14471428GLM 4.6
LMArena Text: Japanese13931380GLM 4.6
LMArena Text: Korean14001373GLM 4.6
LMArena Text: French14591444GLM 4.6
LMArena Text: Spanish14361433GLM 4.6
LMArena Text: Russian14181426MiniMax M3
LMArena Text: Polish14471423GLM 4.6
LMArena Text: multi-turn14271443MiniMax M3
LMArena Text: longer queries14221446MiniMax M3
LMArena Text: writing and language14151419MiniMax M3
LMArena Text: entertainment and media14091403GLM 4.6
LMArena Vision: EnglishNot measured1263Only MiniMax M3 measured
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading textNot measured1259Only MiniMax M3 measured
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writingNot measured1234Only MiniMax M3 measured
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and MiniMax M3
BenchmarkGLM 4.6MiniMax M3Leader
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 4.6$0.0017Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
MiniMax M3$0.072Fits in one request

MiniMax M3 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 4.6 and MiniMax M3
SpecificationZ.ai GLM 4.6MiniMax M3
MakerZ.aiMiniMax
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025May 31, 2026
Context window205K1.05M
Input $/Mtok$0.60$0.30
Output $/Mtok$2.20$1.20
Coding index8.839.2
Independent measurements behind it26
Cost per solved taskNot computable$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than MiniMax M3 for coding?

Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for work measured by LMArena Text: math or LMArena Text: science, where it leads.

Which is cheaper, GLM 4.6 or MiniMax M3?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.

Which has the bigger context window, GLM 4.6 or MiniMax M3?

MiniMax M3, with 1.05M tokens against 205K.

How many benchmarks is the GLM 4.6 vs MiniMax M3 comparison based on?

56 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/glm-4-6-vs-minimax-minimax-m3" title="GLM 4.6 vs MiniMax M3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-4-6-vs-minimax-minimax-m3">LLMBenchmark.ai, GLM 4.6 vs MiniMax M3</a></p>