Choose Kimi K3 When
- Text, image, and video input, while GLM-5.2 is text-only
- Published Intelligence and Coding Index results are available on TokenHub
- One model can cover both visual creation and technical agents
Kimi K3 vs GLM-5.2
Kimi K3 from Moonshot AI and GLM-5.2 from Z.ai are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.
Overall Recommendation
Kimi K3 is the broader default because it adds image and video input and has published TokenHub benchmark results. Choose GLM-5.2 for text-only engineering when roughly 60% lower input cost and 72% lower output cost matter more; TokenHub currently has no GLM-5.2 benchmark data for a capability verdict.
Comparison Highlights
Kimi K3Moonshot AI
GLM-5.2Z.ai
Best For
Multimodal creationvaried agent workflows
Long-horizon engineeringrepository-scale work
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
MultimodalCreationGeneral agents
EngineeringLong contextDeveloper agents
How To Read ItThe workloads each model is most directly shaped for.
Input
$2.8571/M
$1.1429/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$14.2857/M
$4/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Text, ImageEdge
Text
How To Read ItBroader input support reduces the need for separate vision or video models.
Model Selection Guide
Choose GLM-5.2 When
- $1.1429 input and $4 output per million tokens, versus $2.8571 and $14.2857
- The same 1M-class context and 131.1K maximum output as Kimi K3
- Positioned for long-horizon, repository-scale engineering workflows
Basic Information
Kimi K3Moonshot AI
GLM-5.2Z.ai
Name
Kimi K3Kimi K3
Model id
Kimi K3kimi-k3
Intro
Kimi K3Kimi K3 is a high-performance AI model designed for advanced reasoning, coding, and complex task execution. It delivers strong performance on large-scale programming projects, multi-step problem solving, and knowledge-intensive applications. With broad context handling and multimodal capabilities, K3 is suitable for building powerful AI agents, developer tools, and enterprise-level applications.
Author
Kimi K3Moonshot AI
Released date
Kimi K32026-07-16
Context length
Kimi K31M
Max output tokens
Kimi K3131.1K
Name
GLM-5.2GLM-5.2
Model id
GLM-5.2glm-5.2
Intro
GLM-5.2GLM-5.2 is Z.ai’s flagship foundation model for long-horizon engineering tasks. It emphasizes a usable 1M-token context window for project-scale code and system context, more stable execution on long tasks, and better adherence to engineering standards. It is positioned for full development workflows, from requirements and repository analysis to implementation, testing, and multi-platform deployment, where large context and sustained agent behavior matter.
Author
GLM-5.2Z.ai
Released date
GLM-5.22026-06-13
Context length
GLM-5.21M
Max output tokens
GLM-5.2131.1K
Name
Kimi K3Kimi K3
Name
GLM-5.2GLM-5.2
Model id
Kimi K3kimi-k3
Model id
GLM-5.2glm-5.2
Intro
Kimi K3Kimi K3 is a high-performance AI model designed for advanced reasoning, coding, and complex task execution. It delivers strong performance on large-scale programming projects, multi-step problem solving, and knowledge-intensive applications. With broad context handling and multimodal capabilities, K3 is suitable for building powerful AI agents, developer tools, and enterprise-level applications.
Intro
GLM-5.2GLM-5.2 is Z.ai’s flagship foundation model for long-horizon engineering tasks. It emphasizes a usable 1M-token context window for project-scale code and system context, more stable execution on long tasks, and better adherence to engineering standards. It is positioned for full development workflows, from requirements and repository analysis to implementation, testing, and multi-platform deployment, where large context and sustained agent behavior matter.
Author
Kimi K3Moonshot AI
Author
GLM-5.2Z.ai
Released date
Kimi K32026-07-16
Released date
GLM-5.22026-06-13
Context length
Kimi K31M
Context length
GLM-5.21M
Max output tokens
Kimi K3131.1K
Max output tokens
GLM-5.2131.1K
Pricing
Kimi K3Moonshot AI
GLM-5.2Z.ai
Input
Kimi K3$2.8571/M
Output
Kimi K3$14.2857/M
Cached input
Kimi K3$0.2857/M
Input
GLM-5.2$1.1429/M
Output
GLM-5.2$4/M
Cached input
GLM-5.2$0.2857/M
Input
Kimi K3$2.8571/M
Input
GLM-5.2$1.1429/M
Output
Kimi K3$14.2857/M
Output
GLM-5.2$4/M
Cached input
Kimi K3$0.2857/M
Cached input
GLM-5.2$0.2857/M
Capabilities
Kimi K3Moonshot AI
GLM-5.2Z.ai
Reasoning
Kimi K3
Knowledge
Kimi K3n/a
Attachment
Kimi K3
Input modalities
Kimi K3Text, Image
Output modalities
Kimi K3Text
Temperature
Kimi K3
Tool use
Kimi K3
Reasoning
GLM-5.2
Knowledge
GLM-5.2n/a
Attachment
GLM-5.2
Input modalities
GLM-5.2Text
Output modalities
GLM-5.2Text
Temperature
GLM-5.2
Tool use
GLM-5.2
Reasoning
Kimi K3
Reasoning
GLM-5.2
Knowledge
Kimi K3n/a
Knowledge
GLM-5.2n/a
Attachment
Kimi K3
Attachment
GLM-5.2
Input modalities
Kimi K3Text, Image
Input modalities
GLM-5.2Text
Output modalities
Kimi K3Text
Output modalities
GLM-5.2Text
Temperature
Kimi K3
Temperature
GLM-5.2
Tool use
Kimi K3
Tool use
GLM-5.2
Benchmark
Intelligence
wins
57.1
Kimi K3
51.1
GLM-5.2
Coding
wins
76.2
Kimi K3
68.8
GLM-5.2
Kimi K3Moonshot AI
GLM-5.2Z.ai
Knowledge & Reasoning
GPQA
wins93.5%
HLE
wins44.3%
GPQA
89.5%
HLE
40.1%
Coding
SciCode
wins58.7%
Terminal-Bench Hard
n/a
SciCode
50.5%
Terminal-Bench Hard
wins50.8%
Instruction Following & Agent Tasks
IFBench
n/a
AA-LCR
wins74.7%
Tau2
n/a
IFBench
wins73.3%
AA-LCR
71.3%
Tau2
wins99.1%
FAQ
Which model is better, Kimi K3 or GLM-5.2?+
Kimi K3 and GLM-5.2 should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side. It is also relevant to: kimi k3 vs glm-5.2, kimi k3 vs glm, kimi vs glm.
Is GLM-5.2 cheaper than Kimi K3?+
Use the pricing rows above to compare input, output, and cached input prices for Kimi K3 and GLM-5.2.
Which model supports a longer context length?+
Kimi K3 lists 1M context length, while GLM-5.2 lists 1M.
Can I access both models through TokenHub?+
If both models are available in the TokenHub catalog, you can route requests to Kimi K3 and GLM-5.2 through the TokenHub API.