Command R+ vs GPT-4o-mini (2024-07-18)
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 GPT-4o-mini (2024-07-18).
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.
GPT-4o-mini (2024-07-18)
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Technical Specifications
| Specification | Command R+ | GPT-4o-mini (2024-07-18) |
|---|---|---|
| Provider | Cohere | OpenAI |
| Context Window | 128,000 tokens | 128,000 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 | 2024-07-18 |
API Pricing Comparison
Input Price per Million Tokens
Command R+
$2.50
GPT-4o-mini (2024-07-18)
$0.15
Output Price per Million Tokens
Command R+
$10.00
GPT-4o-mini (2024-07-18)
$0.60
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
GPT-4o-mini (2024-07-18) Quirks & Gotchas
No developer gotchas reported.