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Mistral Nemo vs GLM 5.3

At a glance

12B model from Mistral and NVIDIA — efficient and multilingual.

131K ctx$0.02/$0.03 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
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper99%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
131K
Context
16K
Max output
Jul 2024
Released
1.0M
Context
256K
Max output
Aug 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input99%$0.02/M tokens
Output99%$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 Mistral NemoGo to model
Chat with GLM 5.3Go to model
Frequently Asked Questions: Mistral Nemo vs GLM 5.3▼

Which is better, Mistral Nemo or GLM 5.3?

▼

Both Mistral Nemo 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, Mistral Nemo or GLM 5.3?

▼

Mistral Nemo has a lower blended cost. Mistral Nemo: $0.02 input / $0.03 output. GLM 5.3: $1.40 input / $4.40 output.

Which has a larger context window, Mistral Nemo or GLM 5.3?

▼

GLM 5.3 has a larger context window: Mistral Nemo supports 131K tokens vs GLM 5.3 at 1M tokens.

What are the key differences between Mistral Nemo and GLM 5.3?

▼

Key differences: Mistral Nemo is significantly cheaper; only GLM 5.3 offers extended reasoning mode. 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 Mistral Nemo and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.

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