Command R (08-2024) vs DeepSeek V4 Pro
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 (08-2024) and DeepSeek V4 Pro.
Command R (08-2024)
command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and...
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Technical Specifications
| Specification | Command R (08-2024) | DeepSeek V4 Pro |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Context Window | 128,000 tokens | 1,048,576 tokens |
| Agent Suitability | N/A | 94/100 |
| Time to First Token (TTFT) | N/A | 280 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-30 | 2026-04-24 |
API Pricing Comparison
Input Price per Million Tokens
Command R (08-2024)
$0.15
DeepSeek V4 Pro
$0.43
Output Price per Million Tokens
Command R (08-2024)
$0.60
DeepSeek V4 Pro
$0.87
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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 R (08-2024) Quirks & Gotchas
No developer gotchas reported.
DeepSeek V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use