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Kimi K2 Thinking vs GLM 5.3

At a glance

Kimi K2 with always-on extended reasoning for complex problem solving.

262K ctx$0.60/$2.50 per M

Z.ai's large-scale reasoning flagship for complex software engineering and long-horizon agent tasks.

1.0M ctx$1.40/$4.40 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper50%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
262K
Context
100K
Max output
Nov 2025
Released
1.0M
Context
256K
Max output
Aug 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input57%$0.60/M tokens
Output43%$2.50/M tokens
Cache read42%$0.15/M tokens
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 ThinkingGo to model
Chat with GLM 5.3Go to model
Frequently Asked Questions: Kimi K2 Thinking vs GLM 5.3▼

Which is better, Kimi K2 Thinking or GLM 5.3?

▼

Both Kimi K2 Thinking and GLM 5.3 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Kimi K2 Thinking or GLM 5.3?

▼

Kimi K2 Thinking has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. GLM 5.3: $1.40 input / $4.40 output.

Which has a larger context window, Kimi K2 Thinking or GLM 5.3?

▼

GLM 5.3 has a larger context window: Kimi K2 Thinking supports 262K tokens vs GLM 5.3 at 1M tokens.

What are the key differences between Kimi K2 Thinking and GLM 5.3?

▼

Key differences: Kimi K2 Thinking is significantly cheaper. 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 Thinking and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.

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