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Kimi K2.6 vs GLM 5.2

At a glance
MoonshotAIKimi K2.6

MoonshotAI's next-generation multimodal model built for long-horizon coding and multi-agent orchestration.

83262K ctx$0.68/$3.41 per M#17/92
Zhipu AIGLM 5.2

Z.ai's frontier reasoning model for long-context agents and software engineering.

83262K ctx$1.40/$4.40 per M#16/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
MoonshotAIKimi K2.6
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI82.9
Reasoning & Knowledge
Graduate Science90.8%Factual Recall38.7%
Math
Competition Math96.1%Research Math39.0%
Coding
Real-World Coding76.7%
Zhipu AIGLM 5.2
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter
Capability
CapabilityECI83.4
Reasoning & Knowledge
Graduate Science91.9%Factual Recall38.1%
Math
Competition Math86.4%Research Math—
Coding
Real-World Coding78.7%
Specs
MoonshotAIKimi K2.6
262K
Context
128K
Max output
Apr 2026
Released
Zhipu AIGLM 5.2
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
MoonshotAIKimi K2.6
Vision
Audio
Reasoning
Zhipu AIGLM 5.2
Vision
Audio
Reasoning
Pricing
MoonshotAIKimi K2.6
Live pricing, shown before you run
Input$0.68/M tokens
Output$3.41/M tokens
Cache read$0.34/M tokens
Zhipu AIGLM 5.2
Live pricing, shown before you run
Input$1.40/M tokens
Output$4.40/M tokens
Cache read$0.26/M tokens
Chat with Kimi K2.6Go to model
Chat with GLM 5.2Go to model
Frequently Asked Questions: Kimi K2.6 vs GLM 5.2▼

Which is better, Kimi K2.6 or GLM 5.2?

▼

Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 82.9). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, Kimi K2.6 or GLM 5.2?

▼

Kimi K2.6 has a lower blended cost. Kimi K2.6: $0.68 input / $3.41 output. GLM 5.2: $1.40 input / $4.40 output.

Which has a larger context window, Kimi K2.6 or GLM 5.2?

▼

GLM 5.2 has a larger context window: Kimi K2.6 supports 262K tokens vs GLM 5.2 at 262K tokens.

Do both Kimi K2.6 and GLM 5.2 support vision?

▼

Kimi K2.6 supports vision/image input, but GLM 5.2 does not.

Which has better coding performance, Kimi K2.6 or GLM 5.2?

▼

GLM 5.2 scores higher on SWE-bench Verified: Kimi K2.6 resolves 77% vs GLM 5.2 at 79%.

What are the key differences between Kimi K2.6 and GLM 5.2?

▼

Key differences: Kimi K2.6 is significantly cheaper; only Kimi K2.6 supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Kimi K2.6 and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.

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