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GLM 4.7 vs Kimi K2.6

GLM 4.7 leads Kimi K2.6 on coding, 55.1 to 52.1 on the Vibe Coding Index, and GLM 4.7 costs 1.8x less per output token ($2.20 vs $4.00 per million). Updated October 22, 2026; 69 benchmarks have a result for both.

Replace GLM 4.7 Replace Kimi K2.6
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
2
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
65
vs boards won of 69 shared, 2 tied

GLM 4.7 or Kimi K2.6: which to pick

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 52.1 for Kimi K2.6, though on 2 benchmarks against 3.

Pick Kimi K2.6 for a larger context window (262K against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Model AGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved taskModel BKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved task
Shared results
69
GLM 4.7 only
12
Kimi K2.6 only
40
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 4.7 55.1 from 2 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
Widest category
Math, 10.6 points apart on average over 4 shared benchmarks.
Widest single gap
Vending-Bench 2: GLM 4.7 $2,377 against Kimi K2.6 $6,205, 23.9 points apart on a 0 to 100 scale.
Output price
GLM 4.7 $2.20 against Kimi K2.6 $4.00 per million output tokens, 1.8x apart.
Context window
GLM 4.7 takes 205K tokens, Kimi K2.6 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 4.7BarsKimi K2.6Ties
Coding010
Intelligence02
Agentic work051 tie
Reasoning17
Math04
Knowledge110
Web design071 tie
General020
All shared boards2652 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
LMArena WebDev14351509Kimi K2.6
AA Coding Index45.361.8Kimi K2.6
LiveCodeBench (Vals AI)82.2%86.8%Kimi K2.6
SWE-bench Verified (Vals AI)69.4%76.2%Kimi K2.6
Vibe Code Bench (Vals AI)Not measured37.9%Only Kimi K2.6 measured
Code migration (Vals AI)Not measured27.8%Only Kimi K2.6 measured
ProgramBench (Vals AI)Not measured0.0%Only Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only Kimi K2.6 measured
LiveCodeBench (Artificial Analysis run)89.4%Not measuredOnly GLM 4.7 measured
SciCodeNot measured51.5%Only Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)31.8%43.9%Kimi K2.6
Terminal-Bench33.4%Not measuredOnly GLM 4.7 measured
WeirdMLNot measured55.9%Only Kimi K2.6 measured
ALE-Bench399.51092.7Kimi K2.6
LMArena Text: coding14541489Kimi K2.6
LMArena Text: software and IT14531484Kimi K2.6
LMArena WebDev: React14201505Kimi K2.6
LMArena WebDev: HTML14471485Kimi K2.6
LMArena WebDev: from an imageNot measured1521Only Kimi K2.6 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
AA Intelligence Index22.227.0Kimi K2.6
Epoch Capabilities Index143.6150.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
AA Agentic IndexNot measured20.5Only Kimi K2.6 measured
Design Arena: agents building web appsNot measured1268Only Kimi K2.6 measured
Design Arena: agents building full-stack apps10501155Kimi K2.6
Design Arena: agents building mobile apps11051156Kimi K2.6
Design Arena: agents building Android apps11121161Kimi K2.6
Design Arena: agents building Godot games10581120Kimi K2.6
Design Arena: agents building gamesNot measured1141Only Kimi K2.6 measured
Design Arena: HTML slidesNot measured1135Only Kimi K2.6 measured
Design Arena: PowerPoint slidesNot measured1103Only Kimi K2.6 measured
Design Arena: spreadsheetsNot measured1276Only Kimi K2.6 measured
Finance Agent (Vals AI)Not measured44.9%Only Kimi K2.6 measured
Tax Agent Bench (Vals AI)Not measured12.4%Only Kimi K2.6 measured
Legal Research Bench (Vals AI)Not measured15.9%Only Kimi K2.6 measured
Excel Modeling Benchmark (Vals AI)Not measured57.9%Only Kimi K2.6 measured
τ²-Bench Telecom95.9%95.9%Tie
OSWorld 2.0Not measured4.6%Only Kimi K2.6 measured
Vending-Bench 2$2,377$6,205Kimi K2.6
BrowseComp-Plus64.7%Not measuredOnly GLM 4.7 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
Reasoning benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
GPQA Diamond80.0%89.1%Kimi K2.6
MMMU Pro (Vals AI)Not measured86.3%Only Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)85.9%91.1%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)27.4%37.5%Kimi K2.6
GPQA Diamond (Epoch AI run)83.3%90.8%Kimi K2.6
SimpleBench47.7%Not measuredOnly GLM 4.7 measured
Chess puzzles21.0%20.0%GLM 4.7
Mystery game puzzlesNot measured18.0%Only Kimi K2.6 measured
EBR-benchNot measured2.4%Only Kimi K2.6 measured
LMArena Text: hard prompts14431470Kimi K2.6
LMArena Text: expert14241491Kimi K2.6
LMArena Text: hard prompts in English14521471Kimi K2.6
LMArena Vision: diagramsNot measured1298Only Kimi K2.6 measured
LMArena Vision: homeworkNot measured1310Only Kimi K2.6 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
AIME93.3%Not measuredOnly GLM 4.7 measured
MGSM (Vals AI)88.2%Not measuredOnly GLM 4.7 measured
AA Math Index95.0Not measuredOnly GLM 4.7 measured
AIME 2025 (Artificial Analysis run)95.0%Not measuredOnly GLM 4.7 measured
OTIS Mock AIME83.3%96.1%Kimi K2.6
FrontierMath, tiers 1 to 3Not measured57.2%Only Kimi K2.6 measured
FrontierMath, tier 4Not measured25.6%Only Kimi K2.6 measured
ProofBench6.0%16.0%Kimi K2.6
LMArena Text: math14241474Kimi K2.6
LMArena Text: mathematical work14111480Kimi K2.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
MMLU Pro82.7%87.6%Kimi K2.6
LegalBench (Vals AI)83.4%84.7%Kimi K2.6
CaseLaw (Vals AI)54.9%61.2%Kimi K2.6
CorpFin (Vals AI)46.4%66.7%Kimi K2.6
TaxEval (Vals AI)68.8%74.7%Kimi K2.6
MortgageTax (Vals AI)Not measured65.8%Only Kimi K2.6 measured
MedQA (Vals AI)93.7%Not measuredOnly GLM 4.7 measured
MedCode (Vals AI)32.8%40.1%Kimi K2.6
MMLU Pro (Artificial Analysis run)85.6%Not measuredOnly GLM 4.7 measured
SimpleQA Verified32.2%34.9%Kimi K2.6
LMArena Text: science14571468Kimi K2.6
LMArena Text: medicine and healthcare14691457GLM 4.7
LMArena Text: legal and government14441462Kimi K2.6
LMArena Text: business and finance14291445Kimi K2.6
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
Design Arena: websites12251268Kimi K2.6
Design Arena: UI components11961263Kimi K2.6
Design Arena: game dev11881250Kimi K2.6
Design Arena: data viz11951249Kimi K2.6
Design Arena: 3D11901267Kimi K2.6
Design Arena: all code categories12161271Kimi K2.6
Design Arena: SVG11421181Kimi K2.6
Design Arena: ASCII art11651165Tie
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
General benchmarks for GLM 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
Public Benefits Bench (Vals AI)Not measured56.6%Only Kimi K2.6 measured
SAGE (Vals AI)Not measured50.2%Only Kimi K2.6 measured
MedScribe (Vals AI)68.6%78.2%Kimi K2.6
Vals Multimodal IndexNot measured56.4%Only Kimi K2.6 measured
IFBench67.9%76.0%Kimi K2.6
Long context reasoning (AA-LCR)71.0%81.0%Kimi K2.6
DTBenchNot measured90.9%Only Kimi K2.6 measured
LMCANot measured37.3%Only Kimi K2.6 measured
CL-bench15.9%Not measuredOnly GLM 4.7 measured
Furniture assemblyNot measured21.7%Only Kimi K2.6 measured
ExploitBenchNot measured18.4%Only Kimi K2.6 measured
CL-bench Life10.9%Not measuredOnly GLM 4.7 measured
LMArena Text14351455Kimi K2.6
LMArena Text: instruction following14121451Kimi K2.6
LMArena Text: creative writing14011434Kimi K2.6
LMArena VisionNot measured1282Only Kimi K2.6 measured
LMArena Text: English14531460Kimi K2.6
LMArena Text: non-English14171446Kimi K2.6
LMArena Text: Chinese14951520Kimi K2.6
LMArena Text: German14261451Kimi K2.6
LMArena Text: Japanese14391443Kimi K2.6
LMArena Text: Korean13991427Kimi K2.6
LMArena Text: French14321471Kimi K2.6
LMArena Text: Spanish14341464Kimi K2.6
LMArena Text: Russian14231446Kimi K2.6
LMArena Text: Polish14351438Kimi K2.6
LMArena Text: multi-turn14461453Kimi K2.6
LMArena Text: longer queries14321468Kimi K2.6
LMArena Text: writing and language14111439Kimi K2.6
LMArena Text: entertainment and media14001428Kimi K2.6
LMArena Vision: EnglishNot measured1287Only Kimi K2.6 measured
LMArena Vision: ChineseNot measured1346Only Kimi K2.6 measured
LMArena Vision: reading textNot measured1291Only Kimi K2.6 measured
LMArena Vision: humorNot measured1280Only Kimi K2.6 measured
LMArena Vision: creative writingNot measured1273Only Kimi K2.6 measured
LMArena DocumentNot measured1451Only Kimi K2.6 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 4.7 and Kimi K2.6
BenchmarkGLM 4.7Kimi K2.6Leader
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 4.7$0.0017Fits in one request
Kimi K2.6$0.0029Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

GLM 4.7$0.037Fits in one request
Kimi K2.6$0.059Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

GLM 4.7$0.142Exceeds the context window
Kimi K2.6$0.230Fits in one request

GLM 4.7 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 4.7 and Kimi K2.6
SpecificationZ.ai GLM 4.7MoonshotAI Kimi K2.6
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedDecember 22, 2025April 20, 2026
Context window205K262K
Input $/Mtok$0.60$0.95
Output $/Mtok$2.20$4.00
Coding index55.152.1
Independent measurements behind it23
Cost per solved task$0.29$0.35
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 better than Kimi K2.6 for coding?

Pick GLM 4.7 for coding: it scores 55.1 on the Vibe Coding Index against 52.1 for Kimi K2.6, though on 2 benchmarks against 3. Pick Kimi K2.6 for a larger context window (262K against 205K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.

Which is cheaper, GLM 4.7 or Kimi K2.6?

GLM 4.7 costs $0.60 per million input tokens and $2.20 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, GLM 4.7 costs $0.29 and Kimi K2.6 $0.35.

Which has the bigger context window, GLM 4.7 or Kimi K2.6?

Kimi K2.6, with 262K tokens against 205K.

How many benchmarks is the GLM 4.7 vs Kimi K2.6 comparison based on?

69 benchmarks have a result for both models as of October 22, 2026. GLM 4.7's coding index rests on 2 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.

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