Command R+ vs GLM 4.7
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 R+ and GLM 4.7.
Command R+
Cohere's enterprise-optimized model built for advanced Retrieval-Augmented Generation (RAG) and multi-step tool use. Highly effective for multilingual business processes.
GLM 4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...
Technical Specifications
| Specification | Command R+ | GLM 4.7 |
|---|---|---|
| Provider | Cohere | Zhipu AI |
| Context Window | 128,000 tokens | 202,752 tokens |
| Agent Suitability | 86/100 | N/A |
| Time to First Token (TTFT) | 350 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-04-04 | 2025-12-22 |
API Pricing Comparison
Input Price per Million Tokens
Command R+
$2.50
GLM 4.7
$0.40
Output Price per Million Tokens
Command R+
$10.00
GLM 4.7
$1.75
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 R+ Quirks & Gotchas
- ▸Optimized for RAG workflows — best enterprise document search model
- ▸Tool calling requires explicit step definitions in Cohere's tool-use format
GLM 4.7 Quirks & Gotchas
No developer gotchas reported.