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GLM 5V Turbo vs Kimi K2.7 Code

At a glance

Zhipu AI's first native multimodal agent foundation model.

203K ctx$1.20/$4.00 per M

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

82262K ctx$0.82/$3.75 per M#20/92
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI81.8
Reasoning & Knowledge
Graduate Science89.5%Factual Recall39.2%
Math
Competition Math96.4%
Specs
203K
Context
131K
Max output
Apr 2026
Released
262K
Context
128K
Max output
Jun 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$1.20/M tokens
Output$4.00/M tokens
Cache read$0.24/M tokens
Live pricing, shown before you run
Input32%$0.82/M tokens
Output6%$3.75/M tokens
Cache read33%$0.16/M tokens
Chat with GLM 5V TurboGo to model
Chat with Kimi K2.7 CodeGo to model
Frequently Asked Questions: GLM 5V Turbo vs Kimi K2.7 Code▼

Which is better, GLM 5V Turbo or Kimi K2.7 Code?

▼

Both GLM 5V Turbo and Kimi K2.7 Code 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, GLM 5V Turbo or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a lower blended cost. GLM 5V Turbo: $1.20 input / $4.00 output. Kimi K2.7 Code: $0.82 input / $3.75 output.

Which has a larger context window, GLM 5V Turbo or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a larger context window: GLM 5V Turbo supports 203K tokens vs Kimi K2.7 Code at 262K tokens.

Do both GLM 5V Turbo and Kimi K2.7 Code support vision?

▼

Yes, both GLM 5V Turbo and Kimi K2.7 Code support vision/image input.

What are the key differences between GLM 5V Turbo and Kimi K2.7 Code?

▼

GLM 5V Turbo and Kimi K2.7 Code have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

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 5V Turbo and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.

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