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GLM 4.5 Air vs Kimi K2.5

Kimi K2.5 leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 23.5 to 11.1, and GLM 4.5 Air costs 2.6x less per output token ($1.10 vs $2.85 per million). Updated October 21, 2026; 43 benchmarks have a result for both.

Replace GLM 4.5 Air Replace Kimi K2.5
GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
0
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
43
vs boards won of 43 shared

GLM 4.5 Air or Kimi K2.5: which to pick

Only Kimi K2.5 has a coding score, 38.6 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 2.6x cheaper ($1.10 vs $2.85 per million).

Model AGLM 4.5 AirZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved task
Shared results
43
GLM 4.5 Air only
5
Kimi K2.5 only
56
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, Kimi K2.5 38.6 from 3 benchmarks.
Widest category
Agentic work, 49.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 4.5 Air 46.5% against Kimi K2.5 95.9%, 49.4 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Kimi K2.5 $2.85 per million output tokens, 2.6x apart.
Context window
GLM 4.5 Air takes 131K tokens, Kimi K2.5 262K.

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 AirBarsKimi K2.5Ties
Coding03
Intelligence01
Agentic work01
Reasoning06
Math02
Knowledge04
Web design07
General019
All shared boards043
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
SWE-bench VerifiedNot measured70.8%Only Kimi K2.5 measured
SWE-bench MultilingualNot measured67.3%Only Kimi K2.5 measured
LMArena WebDevNot measured1437Only Kimi K2.5 measured
AA Coding IndexNot measured46.8Only Kimi K2.5 measured
LiveCodeBench (Vals AI)Not measured83.9%Only Kimi K2.5 measured
SWE-bench Verified (Vals AI)Not measured70.0%Only Kimi K2.5 measured
Vibe Code Bench (Vals AI)Not measured17.5%Only Kimi K2.5 measured
Code migration (Vals AI)Not measured7.0%Only Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured42.0%Only Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
Terminal-Bench Hard (Artificial Analysis run)20.5%34.8%Kimi K2.5
Terminal-BenchNot measured43.2%Only Kimi K2.5 measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
WeirdMLNot measured45.6%Only Kimi K2.5 measured
ALE-BenchNot measured821.6Only Kimi K2.5 measured
LMArena Text: coding13971483Kimi K2.5
LMArena Text: software and IT14011471Kimi K2.5
LMArena WebDev: ReactNot measured1429Only Kimi K2.5 measured
LMArena WebDev: HTMLNot measured1426Only Kimi K2.5 measured
LMArena WebDev: from an imageNot measured1439Only Kimi K2.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
AA Intelligence Index11.123.5Kimi K2.5
Epoch Capabilities IndexNot measured148.1Only Kimi K2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
Design Arena: agents building web appsNot measured1136Only Kimi K2.5 measured
Design Arena: agents building full-stack appsNot measured1114Only Kimi K2.5 measured
Design Arena: agents building mobile appsNot measured1147Only Kimi K2.5 measured
Design Arena: agents building Android appsNot measured1118Only Kimi K2.5 measured
Design Arena: agents building Godot gamesNot measured1219Only Kimi K2.5 measured
Finance Agent (Vals AI)Not measured35.8%Only Kimi K2.5 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)Not measured28.5%Only Kimi K2.5 measured
τ²-Bench Telecom46.5%95.9%Kimi K2.5
OSWorldNot measured63.3%Only Kimi K2.5 measured
Vending-Bench 2Not measured$1,198Only Kimi K2.5 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
GPQA DiamondNot measured84.1%Only Kimi K2.5 measured
MMMU Pro (Vals AI)Not measured84.3%Only Kimi K2.5 measured
GPQA Diamond (Artificial Analysis run)73.3%87.9%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)7.0%30.7%Kimi K2.5
ARC-AGINot measured65.3%Only Kimi K2.5 measured
ARC-AGI-2Not measured11.8%Only Kimi K2.5 measured
SimpleBenchNot measured46.8%Only Kimi K2.5 measured
LMArena Text: hard prompts13791453Kimi K2.5
LMArena Text: expert13701466Kimi K2.5
LMArena Text: hard prompts in English13881460Kimi K2.5
LMArena Vision: diagramsNot measured1282Only Kimi K2.5 measured
LMArena Vision: homeworkNot measured1297Only Kimi K2.5 measured
Kagi LLM Benchmark43.0%78.5%Kimi K2.5
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
AIMENot measured95.6%Only Kimi K2.5 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
LMArena Text: math13961470Kimi K2.5
LMArena Text: mathematical work13961473Kimi K2.5
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
MMLU ProNot measured85.9%Only Kimi K2.5 measured
CaseLaw (Vals AI)Not measured58.7%Only Kimi K2.5 measured
CorpFin (Vals AI)Not measured68.3%Only Kimi K2.5 measured
TaxEval (Vals AI)Not measured74.2%Only Kimi K2.5 measured
MortgageTax (Vals AI)Not measured66.5%Only Kimi K2.5 measured
MedQA (Vals AI)Not measured94.4%Only Kimi K2.5 measured
MedCode (Vals AI)Not measured39.3%Only Kimi K2.5 measured
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
SimpleQA VerifiedNot measured34.3%Only Kimi K2.5 measured
LMArena Text: science14071459Kimi K2.5
LMArena Text: medicine and healthcare14021448Kimi K2.5
LMArena Text: legal and government13821441Kimi K2.5
LMArena Text: business and finance13711427Kimi K2.5
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
Design Arena: websites11461248Kimi K2.5
Design Arena: UI components11231236Kimi K2.5
Design Arena: game dev10941207Kimi K2.5
Design Arena: data viz11861219Kimi K2.5
Design Arena: 3D11231205Kimi K2.5
Design Arena: all code categories11371236Kimi K2.5
Design Arena: SVG10711149Kimi K2.5
Design Arena: ASCII artNot measured1166Only Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for GLM 4.5 Air and Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
SAGE (Vals AI)Not measured49.9%Only Kimi K2.5 measured
MedScribe (Vals AI)Not measured76.4%Only Kimi K2.5 measured
IFBench37.6%70.2%Kimi K2.5
Long context reasoning (AA-LCR)46.7%78.0%Kimi K2.5
Fiction.LiveBenchNot measured86.1%Only Kimi K2.5 measured
CL-benchNot measured19.3%Only Kimi K2.5 measured
CL-bench LifeNot measured13.2%Only Kimi K2.5 measured
LMArena Text13841445Kimi K2.5
LMArena Text: instruction following13541431Kimi K2.5
LMArena Text: creative writing13431422Kimi K2.5
LMArena VisionNot measured1269Only Kimi K2.5 measured
LMArena Text: English13971453Kimi K2.5
LMArena Text: non-English13661433Kimi K2.5
LMArena Text: Chinese14261494Kimi K2.5
LMArena Text: German13771441Kimi K2.5
LMArena Text: Japanese13481423Kimi K2.5
LMArena Text: Korean13081412Kimi K2.5
LMArena Text: French14001454Kimi K2.5
LMArena Text: Spanish13851450Kimi K2.5
LMArena Text: Russian13731435Kimi K2.5
LMArena Text: Polish13681445Kimi K2.5
LMArena Text: multi-turn13711444Kimi K2.5
LMArena Text: longer queries13661445Kimi K2.5
LMArena Text: writing and language13541425Kimi K2.5
LMArena Text: entertainment and media13391417Kimi K2.5
LMArena Vision: EnglishNot measured1274Only Kimi K2.5 measured
LMArena Vision: ChineseNot measured1328Only Kimi K2.5 measured
LMArena Vision: reading textNot measured1276Only Kimi K2.5 measured
LMArena Vision: humorNot measured1284Only Kimi K2.5 measured
LMArena Vision: captioningNot measured1257Only Kimi K2.5 measured
LMArena Vision: recognizing thingsNot measured1285Only Kimi K2.5 measured
LMArena Vision: creative writingNot measured1269Only Kimi K2.5 measured
Neither model has a result on the other 14 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 Kimi K2.5
BenchmarkGLM 4.5 AirKimi K2.5Leader
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
Kimi K2.5$0.0020Fits 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
Kimi K2.5$0.035Fits 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
Kimi K2.5$0.135Fits in one request

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 Kimi K2.5
SpecificationZ.ai GLM 4.5 AirMoonshotAI Kimi K2.5
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025January 27, 2026
Context window131K262K
Input $/Mtok$0.20$0.532
Output $/Mtok$1.10$2.85
Coding indexNot benchmarked38.6
Independent measurements behind it03
Cost per solved taskNot computable$0.24
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Kimi K2.5 for coding?

Only Kimi K2.5 has a coding score, 38.6 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 2.6x cheaper ($1.10 vs $2.85 per million).

Which is cheaper, GLM 4.5 Air or Kimi K2.5?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Cost per solved task is known for Kimi K2.5 only.

Which has the bigger context window, GLM 4.5 Air or Kimi K2.5?

Kimi K2.5, with 262K tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs Kimi K2.5 comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. GLM 4.5 Air's coding index rests on 0 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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