Command R (08-2024) vs Gemini 3.1 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 Gemini 3.1 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...
Gemini 3.1 Pro
Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.
Technical Specifications
| Specification | Command R (08-2024) | Gemini 3.1 Pro |
|---|---|---|
| Provider | Cohere | |
| Context Window | 128,000 tokens | 2,000,000 tokens |
| Agent Suitability | N/A | 93/100 |
| Time to First Token (TTFT) | N/A | 420 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-30 | 2026-04-20 |
API Pricing Comparison
Input Price per Million Tokens
Command R (08-2024)
$0.15
Gemini 3.1 Pro
$2.00
Output Price per Million Tokens
Command R (08-2024)
$0.60
Gemini 3.1 Pro
$12.00
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 (08-2024) Quirks & Gotchas
No developer gotchas reported.
Gemini 3.1 Pro Quirks & Gotchas
- ▸Best model for massive context — 2M token window is class-leading
- ▸Tool calling requires explicit schema definition in Google AI Studio