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GLM 5.1 vs Kimi K2.7 Code

At a glance
Zhipu AIGLM 5.1

Zhipu AI's most capable model with a major leap in coding and long-horizon task performance.

82203K ctx$0.98/$3.08 per M#19/92
MoonshotAIKimi K2.7 Code

MoonshotAI's coding-focused Kimi model for end-to-end software engineering.

82262K ctx$0.74/$3.50 per M#20/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Zhipu AIGLM 5.1
Reasoning
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Smarter
Capability
CapabilityECI82.3
Reasoning & Knowledge
Graduate Science85.5%Factual Recall37.3%
Math
Competition Math92.2%Research Math33.4%
Coding
Real-World Coding74.2%
MoonshotAIKimi K2.7 Code
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI81.8
Reasoning & Knowledge
Graduate Science89.5%Factual Recall39.2%
Math
Competition Math96.4%Research Math—
Coding
Real-World Coding—
Specs
Zhipu AIGLM 5.1
203K
Context
16K
Max output
Apr 2026
Released
MoonshotAIKimi K2.7 Code
262K
Context
16K
Max output
Jun 2026
Released
Capabilities
Zhipu AIGLM 5.1
Vision
Audio
Reasoning
MoonshotAIKimi K2.7 Code
Vision
Audio
Reasoning
Pricing
Zhipu AIGLM 5.1
Live pricing, shown before you run
Input$0.98/M tokens
Output$3.08/M tokens
Cache read$0.18/M tokens
MoonshotAIKimi K2.7 Code
Live pricing, shown before you run
Input$0.74/M tokens
Output$3.50/M tokens
Cache read$0.15/M tokens
Chat with GLM 5.1Go to model
Chat with Kimi K2.7 CodeGo to model
Frequently Asked Questions: GLM 5.1 vs Kimi K2.7 Code▼

Which is better, GLM 5.1 or Kimi K2.7 Code?

▼

Based on the Capability Index, GLM 5.1 scores higher (82.3 vs 81.8). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, GLM 5.1 or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a lower blended cost. GLM 5.1: $0.98 input / $3.08 output. Kimi K2.7 Code: $0.74 input / $3.50 output.

Which has a larger context window, GLM 5.1 or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a larger context window: GLM 5.1 supports 203K tokens vs Kimi K2.7 Code at 262K tokens.

Do both GLM 5.1 and Kimi K2.7 Code support vision?

▼

Kimi K2.7 Code supports vision/image input, but GLM 5.1 does not.

What are the key differences between GLM 5.1 and Kimi K2.7 Code?

▼

Key differences: only Kimi K2.7 Code 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 GLM 5.1 and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.

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