Command R+ vs Gemini 2.5 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+ and Gemini 2.5 Pro.
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.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Technical Specifications
| Specification | Command R+ | Gemini 2.5 Pro |
|---|---|---|
| Provider | Cohere | |
| Context Window | 128,000 tokens | 1,048,576 tokens |
| Agent Suitability | 86/100 | 90/100 |
| Time to First Token (TTFT) | 350 ms | 450 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-04-04 | 2025-06-17 |
API Pricing Comparison
Input Price per Million Tokens
Command R+
$2.50
Gemini 2.5 Pro
$1.25
Output Price per Million Tokens
Command R+
$10.00
Gemini 2.5 Pro
$10.00
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
Gemini 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency