Command R7B (12-2024) vs GLM 4.6V
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Command R7B (12-2024) and GLM 4.6V.
Command R7B (12-2024)
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
Technical Specifications
| Specification | Command R7B (12-2024) | GLM 4.6V |
|---|---|---|
| Provider | Cohere | Zhipu AI |
| Context Window | 128,000 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-14 | 2025-12-08 |
API Pricing Comparison
Input Price per Million Tokens
Command R7B (12-2024)
$0.04
GLM 4.6V
$0.30
Output Price per Million Tokens
Command R7B (12-2024)
$0.15
GLM 4.6V
$0.90
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Command R7B (12-2024) Quirks & Gotchas
No developer gotchas reported.
GLM 4.6V Quirks & Gotchas
No developer gotchas reported.