GLM 4.6vs Relace Apply 3
GLM 4.6
vs Relace Apply 3
Compare performance metrics, pricing, and capabilities of these AI models.
Key Differences
Context Length
Lower
GLM 4.6: 203K (disadvantage)
Relace Apply 3: 256K (advantage)
Cost Efficiency
Lower Cost
Prompt: $0.50M vs $0.85M
Completion: $1.75M vs $1.25M
Capabilities
GLM 4.6
Modality: text->text
Inputs: text
Relace Apply 3
Modality: text->text
Inputs: text
Z
GLM 4.6
z-ai/glm-4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K ...
Context Length203K
Prompt Price$0.50M
ReleasedSeptember 30, 2025
Supports:
text->textR
Relace Apply 3
relace/relace-apply-3
Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Cl...
Context Length256K
Prompt Price$0.85M
ReleasedSeptember 26, 2025
Supports:
text->textDetailed Comparison
| Feature | GLM 4.6 | Relace Apply 3 |
|---|---|---|
| Context Length | 203K | 256K |
| Prompt Price | $0.50M | $0.85M |
| Completion Price | $1.75M | $1.25M |
| Modality | text->text | text->text |
| Release Date | September 30, 2025 | September 26, 2025 |
Analysis & Recommendations
Quick Summary
This comparison reveals key trade-offs between GLM 4.6 and Relace Apply 3. Relace Apply 3 offers a larger context window of 256K compared to GLM 4.6's 203K, though Relace Apply 3 comes at a higher cost.
GLM 4.6 Strengths
- •Competitive context size (203K)
- •More cost-effective per token
- •Specialized for text tasks
- •Latest generation model
Relace Apply 3 Strengths
- •Larger context window (256K) for processing longer documents
- •Premium pricing for high-quality output
- •Specialized for text tasks
- •Proven and stable model
When to Use Each Model
Choose GLM 4.6 when:
- • You need competitive context capability for complex tasks
- • Cost efficiency is important in your use case
- • Working with text-based tasks that benefit from deep analysis
Choose Relace Apply 3 when:
- • You need the larger context window for long-form content
- • Cost efficiency is not the primary concern for your budget
- • Working with text-based tasks that require advanced processing
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