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MiniMax M2 vs GLM 5.3

At a glance

MiniMax's flagship MoE model with 1T parameters.

205K ctx$0.30/$1.20 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
ReasoningInsufficient data
MathInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-07-10
Cheaper76%
Agentic
Terminal Tasks30.0%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Agentic
Terminal Tasks—
Specs
205K
Context
131K
Max output
Oct 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
Input79%$0.30/M tokens
Output73%$1.20/M tokens
Cache read88%$0.03/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 MiniMax M2Go to model
Chat with GLM 5.3Go to model
Frequently Asked Questions: MiniMax M2 vs GLM 5.3▼

Which is better, MiniMax M2 or GLM 5.3?

▼

Both MiniMax M2 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, MiniMax M2 or GLM 5.3?

▼

MiniMax M2 has a lower blended cost. MiniMax M2: $0.30 input / $1.20 output. GLM 5.3: $1.40 input / $4.40 output.

Which has a larger context window, MiniMax M2 or GLM 5.3?

▼

GLM 5.3 has a larger context window: MiniMax M2 supports 205K tokens vs GLM 5.3 at 1M tokens.

What are the key differences between MiniMax M2 and GLM 5.3?

▼

Key differences: MiniMax M2 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 MiniMax M2 and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.

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