LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

GLM 5 vs MiniMax M3

Updated October 21, 2026. 64 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
32
MiniMax M3MiniMax
Coding
57.8
Overall
29.2
Output $/M
$1.20
32
vs boards won of 64 shared

Decision reading

GLM 5 and MiniMax M3 are level for coding, 59.7 against 57.8 on the Vibe Coding Index, so price and context decide.

Pick MiniMax M3 when output tokens cost 2.7x less, or when a solved task costs $0.56 against $0.63. Pick GLM 5 when what matters is Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.

Shared results
64
GLM 5 only
11
MiniMax M3 only
52
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 M3 57.8 from 2 benchmarks.
Widest category
Agentic work, 7.1 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against MiniMax M3 47.6%, 24.2 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against MiniMax M3 $1.20 per million output tokens, 2.7x apart.
Context window
GLM 5 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 5BarsMiniMax M3Ties
Coding28
Intelligence02
Agentic work24
Reasoning35
Math30
Knowledge44
Web design35
General154
All shared boards3232
CodingLike-for-likeFour of these boards feed the Vibe Coding Index28
Coding benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDev14351482MiniMax M3
AA Coding IndexNot measured58.6Only MiniMax M3 measured
LiveCodeBench (Vals AI)81.9%82.2%MiniMax M3
SWE-bench Verified (Vals AI)71.4%75.0%MiniMax M3
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)23.4%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
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%42.4%GLM 5
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6640.0GLM 5
LMArena Text: coding14611470MiniMax M3
LMArena Text: software and IT14601466MiniMax M3
LMArena WebDev: React14241478MiniMax M3
LMArena WebDev: HTML14501455MiniMax M3
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
AA Intelligence Index27.929.2MiniMax M3
Epoch Capabilities Index145.8146.9MiniMax M3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index24
Agentic work benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax 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 apps11231197MiniMax M3
Design Arena: agents building mobile apps11361169MiniMax M3
Design Arena: agents building Android apps11521164MiniMax M3
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slides11481180MiniMax M3
Design Arena: PowerPoint slidesNot measured1205Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1021Only 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 Telecom98.2%88.9%GLM 5
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2$4,432$2,158GLM 5
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
GPQA Diamond83.3%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)82.0%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)29.3%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)87.8%90.9%MiniMax M3
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%45.8%GLM 5
Chess puzzlesNot measured13.0%Only MiniMax M3 measured
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts14521447GLM 5
LMArena Text: expert14541461MiniMax M3
LMArena Text: hard prompts in English14601455GLM 5
LMArena Vision: diagramsNot measured1266Only MiniMax M3 measured
LMArena Vision: homeworkNot measured1268Only MiniMax M3 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%71.1%GLM 5
ProofBenchNot measured18.0%Only MiniMax M3 measured
LMArena Text: math14401429GLM 5
LMArena Text: mathematical work14511448GLM 5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index44
Knowledge benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
MMLU Pro86.0%84.2%GLM 5
LegalBench (Vals AI)84.1%85.4%MiniMax M3
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%68.1%MiniMax M3
TaxEval (Vals AI)70.0%72.7%MiniMax M3
MortgageTax (Vals AI)Not measured68.4%Only MiniMax M3 measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
LMArena Text: science14601452GLM 5
LMArena Text: medicine and healthcare14551441GLM 5
LMArena Text: legal and government14531437GLM 5
LMArena Text: business and finance14301434MiniMax M3
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index35
Web design benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax M3Leader
Design Arena: websites12471257MiniMax M3
Design Arena: UI components12301246MiniMax M3
Design Arena: game dev12341210GLM 5
Design Arena: data viz12281235MiniMax M3
Design Arena: 3D12291209GLM 5
Design Arena: all code categories12461247MiniMax M3
Design Arena: SVG11681161GLM 5
Design Arena: ASCII art11461161MiniMax M3
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
General benchmarks for GLM 5 and MiniMax M3
BenchmarkGLM 5MiniMax 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
IFBench72.3%82.9%MiniMax M3
Long context reasoning (AA-LCR)75.7%83.0%MiniMax M3
DTBenchNot measured78.9%Only MiniMax M3 measured
LMCANot measured33.7%Only MiniMax M3 measured
CL-bench18.7%Not measuredOnly GLM 5 measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text14461433GLM 5
LMArena Text: instruction following14281433MiniMax M3
LMArena Text: creative writing14381404GLM 5
LMArena VisionNot measured1251Only MiniMax M3 measured
LMArena Text: English14581443GLM 5
LMArena Text: non-English14301420GLM 5
LMArena Text: Chinese15111466GLM 5
LMArena Text: German14471428GLM 5
LMArena Text: Japanese14161380GLM 5
LMArena Text: Korean14231373GLM 5
LMArena Text: French14561444GLM 5
LMArena Text: Spanish14541433GLM 5
LMArena Text: Russian14361426GLM 5
LMArena Text: Polish14341423GLM 5
LMArena Text: multi-turn14561443GLM 5
LMArena Text: longer queries14461446MiniMax M3
LMArena Text: writing and language14371419GLM 5
LMArena Text: entertainment and media14261403GLM 5
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 10 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 M3
BenchmarkGLM 5MiniMax 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 5$0.0026Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds 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 5 and MiniMax M3
SpecificationZ.ai GLM 5MiniMax M3
MakerZ.aiMiniMax
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026May 31, 2026
Context window205K1.05M
Input $/Mtok$1.00$0.30
Output $/Mtok$3.20$1.20
Coding index59.757.8
Independent measurements behind it22
Cost per solved task$0.63$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than MiniMax M3 for coding?

GLM 5 and MiniMax M3 are level for coding, 59.7 against 57.8 on the Vibe Coding Index, so price and context decide. Pick MiniMax M3 when output tokens cost 2.7x less, or when a solved task costs $0.56 against $0.63. Pick GLM 5 when what matters is Terminal-Bench Hard (Artificial Analysis run) or ALE-Bench, where it leads.

Which is cheaper, GLM 5 or MiniMax M3?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and MiniMax M3 $0.56.

Which has the bigger context window, GLM 5 or MiniMax M3?

MiniMax M3, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5 vs MiniMax M3 comparison based on?

64 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/glm-5-vs-minimax-minimax-m3" title="GLM 5 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-5-vs-minimax-minimax-m3">LLMBenchmark.ai, GLM 5 vs MiniMax M3</a></p>