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Llama 3.2 3B vs GLM 5.3

At a glance

Tiny 3B edge model from Meta optimized for on-device deployment.

80K ctx$0.05/$0.34 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
Cheaper94%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
80K
Context
40K
Max output
Sep 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
Input96%$0.05/M tokens
Output92%$0.34/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 Llama 3.2 3BGo to model
Chat with GLM 5.3Go to model
Frequently Asked Questions: Llama 3.2 3B vs GLM 5.3▼

Which is better, Llama 3.2 3B or GLM 5.3?

▼

Both Llama 3.2 3B 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, Llama 3.2 3B or GLM 5.3?

▼

Llama 3.2 3B has a lower blended cost. Llama 3.2 3B: $0.05 input / $0.34 output. GLM 5.3: $1.40 input / $4.40 output.

Which has a larger context window, Llama 3.2 3B or GLM 5.3?

▼

GLM 5.3 has a larger context window: Llama 3.2 3B supports 80K tokens vs GLM 5.3 at 1M tokens.

What are the key differences between Llama 3.2 3B and GLM 5.3?

▼

Key differences: Llama 3.2 3B 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 Llama 3.2 3B and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.

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