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GLM 5 vs Kimi K2 0711

GLM 5 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 27.9 to 12.7, and Kimi K2 0711 costs 1.4x less per output token ($2.30 vs $3.20 per million). Updated October 21, 2026; 27 benchmarks have a result for both.

Replace GLM 5 Replace Kimi K2 0711
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
26
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
1
vs boards won of 27 shared

GLM 5 or Kimi K2 0711: which to pick

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.

Pick Kimi K2 0711 for output tokens 1.4x cheaper ($2.30 vs $3.20 per million) and work measured by TaxEval (Vals AI), where it leads.

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
27
GLM 5 only
49
Kimi K2 0711 only
10
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 5 41.7 from 3 benchmarks, Kimi K2 0711 not benchmarked.
Widest category
Agentic work, 37.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: GLM 5 98.2% against Kimi K2 0711 61.1%, 37.1 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Kimi K2 0711 $2.30 per million output tokens, 1.4x apart.
Context window
GLM 5 takes 205K tokens, Kimi K2 0711 131K.

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 5BarsKimi K2 0711Ties
Coding50
Intelligence20
Agentic work10
Reasoning50
Math10
Knowledge41
Web design50
General30
All shared boards261
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
Aider polyglotNot measured59.1%Only Kimi K2 0711 measured
SWE-bench Verified72.8%71.2%GLM 5
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev1435Not measuredOnly GLM 5 measured
LiveCodeBench (Vals AI)81.9%70.5%GLM 5
SWE-bench Verified (Vals AI)71.4%Not measuredOnly GLM 5 measured
Vibe Code Bench (Vals AI)23.4%Not measuredOnly GLM 5 measured
LiveCodeBench (Artificial Analysis run)Not measured55.6%Only Kimi K2 0711 measured
Terminal-Bench Hard (Artificial Analysis run)43.2%15.9%GLM 5
Terminal-Bench52.4%27.8%GLM 5
GSO-BenchNot measured4.9%Only Kimi K2 0711 measured
WeirdML48.2%39.4%GLM 5
ALE-Bench765.6Not measuredOnly GLM 5 measured
LMArena Text: coding1461Not measuredOnly GLM 5 measured
LMArena Text: software and IT1460Not measuredOnly GLM 5 measured
LMArena WebDev: React1424Not measuredOnly GLM 5 measured
LMArena WebDev: HTML1450Not measuredOnly GLM 5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
AA Intelligence Index27.912.7GLM 5
Epoch Capabilities Index145.8140.0GLM 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1146Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 measured
τ²-Bench Telecom98.2%61.1%GLM 5
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
GPQA Diamond83.3%71.5%GLM 5
GPQA Diamond (Artificial Analysis run)82.0%76.6%GLM 5
Humanity's Last Exam (Artificial Analysis run)29.3%7.4%GLM 5
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%26.3%GLM 5
LMArena Text: hard prompts1452Not measuredOnly GLM 5 measured
LMArena Text: expert1454Not measuredOnly GLM 5 measured
LMArena Text: hard prompts in English1460Not measuredOnly GLM 5 measured
Kagi LLM Benchmark75.0%64.4%GLM 5
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
AIME91.7%62.7%GLM 5
MATH 500 (Vals AI)Not measured94.2%Only Kimi K2 0711 measured
MGSM (Vals AI)Not measured91.0%Only Kimi K2 0711 measured
AA Math IndexNot measured57.0Only Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)Not measured57.0%Only Kimi K2 0711 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
LMArena Text: math1440Not measuredOnly GLM 5 measured
LMArena Text: mathematical work1451Not measuredOnly GLM 5 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
MMLU Pro86.0%79.4%GLM 5
LegalBench (Vals AI)84.1%81.5%GLM 5
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%50.4%GLM 5
TaxEval (Vals AI)70.0%70.2%Kimi K2 0711
MedQA (Vals AI)94.3%84.0%GLM 5
MMLU Pro (Artificial Analysis run)Not measured82.4%Only Kimi K2 0711 measured
LMArena Text: science1460Not measuredOnly GLM 5 measured
LMArena Text: medicine and healthcare1455Not measuredOnly GLM 5 measured
LMArena Text: legal and government1453Not measuredOnly GLM 5 measured
LMArena Text: business and finance1430Not measuredOnly GLM 5 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
Design Arena: websites12471050GLM 5
Design Arena: UI components12301030GLM 5
Design Arena: game dev1234974GLM 5
Design Arena: data viz12281018GLM 5
Design Arena: 3D1229Not measuredOnly GLM 5 measured
Design Arena: all code categories12461033GLM 5
Design Arena: SVG1168Not measuredOnly GLM 5 measured
Design Arena: ASCII art1147Not measuredOnly GLM 5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
IFBench72.3%41.5%GLM 5
Long context reasoning (AA-LCR)75.7%53.0%GLM 5
Fiction.LiveBenchNot measured61.1%Only Kimi K2 0711 measured
Creative writing (Lech Mazur)Not measured85.6%Only Kimi K2 0711 measured
CL-bench18.7%11.9%GLM 5
LMArena Text1446Not measuredOnly GLM 5 measured
LMArena Text: instruction following1428Not measuredOnly GLM 5 measured
LMArena Text: creative writing1438Not measuredOnly GLM 5 measured
LMArena Text: English1458Not measuredOnly GLM 5 measured
LMArena Text: non-English1430Not measuredOnly GLM 5 measured
LMArena Text: Chinese1511Not measuredOnly GLM 5 measured
LMArena Text: German1447Not measuredOnly GLM 5 measured
LMArena Text: Japanese1416Not measuredOnly GLM 5 measured
LMArena Text: Korean1423Not measuredOnly GLM 5 measured
LMArena Text: French1456Not measuredOnly GLM 5 measured
LMArena Text: Spanish1454Not measuredOnly GLM 5 measured
LMArena Text: Russian1436Not measuredOnly GLM 5 measured
LMArena Text: Polish1434Not measuredOnly GLM 5 measured
LMArena Text: multi-turn1456Not measuredOnly GLM 5 measured
LMArena Text: longer queries1446Not measuredOnly GLM 5 measured
LMArena Text: writing and language1437Not measuredOnly GLM 5 measured
LMArena Text: entertainment and media1426Not measuredOnly GLM 5 measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and Kimi K2 0711
BenchmarkGLM 5Kimi K2 0711Leader
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
Kimi K2 0711$0.0017Fits in one request

Kimi K2 0711 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Kimi K2 0711$0.035Fits in one request

Kimi K2 0711 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Kimi K2 0711$0.137Exceeds the context window

Kimi K2 0711 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 Kimi K2 0711
SpecificationZ.ai GLM 5MoonshotAI Kimi K2 0711
MakerZ.aiMoonshot AI
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026July 11, 2025
Context window205K131K
Input $/Mtok$1.00$0.57
Output $/Mtok$3.20$2.30
Coding index41.7Not benchmarked
Independent measurements behind it30
Cost per solved task$0.63Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Kimi K2 0711 for coding?

Only GLM 5 has a coding score, 41.7 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 1.4x cheaper ($2.30 vs $3.20 per million) and work measured by TaxEval (Vals AI), where it leads.

Which is cheaper, GLM 5 or Kimi K2 0711?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, GLM 5 or Kimi K2 0711?

GLM 5, with 205K tokens against 131K.

How many benchmarks is the GLM 5 vs Kimi K2 0711 comparison based on?

27 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 3 independent benchmarks and Kimi K2 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.

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