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GLM 4.5 Air vs MiniMax M2.5

MiniMax M2.5 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 22.8 to 11.1, at about the same output price ($1.20 vs $1.10 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
28
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
15
vs boards won of 43 shared

GLM 4.5 Air or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
43
GLM 4.5 Air only
6
MiniMax M2.5 only
28
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 4.5 Air not benchmarked, MiniMax M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 48.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.5 Air 46.5% against MiniMax M2.5 95.3%, 48.8 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against MiniMax M2.5 $1.20 per million output tokens, 1.1x apart.
Context window
GLM 4.5 Air takes 131K tokens, MiniMax M2.5 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 4.5 AirBarsMiniMax M2.5Ties
Coding21
Intelligence01
Agentic work01
Reasoning24
Math20
Knowledge40
Web design16
General172
All shared boards2815
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
Terminal-Bench Hard (Artificial Analysis run)20.5%34.8%MiniMax M2.5
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
ALE-BenchNot measured618.2Only MiniMax M2.5 measured
LMArena Text: coding13971380GLM 4.5 Air
LMArena Text: software and IT14011383GLM 4.5 Air
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
AA Intelligence Index11.122.8MiniMax M2.5
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
τ²-Bench Telecom46.5%95.3%MiniMax M2.5
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)73.3%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)7.0%20.5%MiniMax M2.5
ARC-AGINot measured63.7%Only MiniMax M2.5 measured
ARC-AGI-2Not measured4.9%Only MiniMax M2.5 measured
LMArena Text: hard prompts13791372GLM 4.5 Air
LMArena Text: expert13701378MiniMax M2.5
LMArena Text: hard prompts in English13881384GLM 4.5 Air
Kagi LLM Benchmark43.0%55.2%MiniMax M2.5
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
LMArena Text: math13961378GLM 4.5 Air
LMArena Text: mathematical work13961378GLM 4.5 Air
MathArena12.0%Not measuredOnly GLM 4.5 Air measured
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 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
LMArena Text: science14071369GLM 4.5 Air
LMArena Text: medicine and healthcare14021357GLM 4.5 Air
LMArena Text: legal and government13821366GLM 4.5 Air
LMArena Text: business and finance13711356GLM 4.5 Air
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
Design Arena: websites11461222MiniMax M2.5
Design Arena: UI components11211170MiniMax M2.5
Design Arena: game dev10931176MiniMax M2.5
Design Arena: data viz11861172GLM 4.5 Air
Design Arena: 3D11221170MiniMax M2.5
Design Arena: all code categories11371207MiniMax M2.5
Design Arena: SVG10701150MiniMax M2.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
IFBench37.6%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)46.7%73.3%MiniMax M2.5
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text13841359GLM 4.5 Air
LMArena Text: instruction following13541353GLM 4.5 Air
LMArena Text: creative writing13431331GLM 4.5 Air
LMArena Text: English13971380GLM 4.5 Air
LMArena Text: non-English13661338GLM 4.5 Air
LMArena Text: Chinese14261393GLM 4.5 Air
LMArena Text: German13771361GLM 4.5 Air
LMArena Text: Japanese13481171GLM 4.5 Air
LMArena Text: Korean13081233GLM 4.5 Air
LMArena Text: French14001363GLM 4.5 Air
LMArena Text: Spanish13851353GLM 4.5 Air
LMArena Text: Russian13731359GLM 4.5 Air
LMArena Text: Polish13681334GLM 4.5 Air
LMArena Text: multi-turn13711364GLM 4.5 Air
LMArena Text: longer queries13661366GLM 4.5 Air
LMArena Text: writing and language13541345GLM 4.5 Air
LMArena Text: entertainment and media13391329GLM 4.5 Air
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and MiniMax M2.5
BenchmarkGLM 4.5 AirMiniMax M2.5Leader
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 4.5 Air$0.0008Fits in one request
MiniMax M2.5$0.0009Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
MiniMax M2.5$0.019Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

GLM 4.5 Air 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 4.5 Air and MiniMax M2.5
SpecificationZ.ai GLM 4.5 AirMiniMax M2.5
MakerZ.aiMiniMax
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025February 12, 2026
Context window131K205K
Input $/Mtok$0.20$0.30
Output $/Mtok$1.10$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GLM 4.5 Air or MiniMax M2.5?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, GLM 4.5 Air or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs MiniMax M2.5 comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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