Claude Opus 4.6 vs Command R
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 Claude Opus 4.6 and Command R.
Claude Opus 4.6
Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...
Command R
Command R is Cohere's lightweight, cost-efficient model engineered for high-speed enterprise integrations, productivity automation, and retrieval-augmented generation (RAG) pipelines. Optimized for low-latency API tool use and structured JSON output, it is particularly effective in enterprise search and question-answering systems where fast, reliable responses are critical. With a 128,000-token context window and a price of $0.15/MTok for input, Command R provides strong RAG performance and multilingual support at a fraction of the cost of Command R+, making it the preferred choice for teams scaling intelligent document retrieval at high request volumes.
Technical Specifications
| Specification | Claude Opus 4.6 | Command R |
|---|---|---|
| Provider | Anthropic | Cohere |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Agent Suitability | 95/100 | 78/100 |
| Time to First Token (TTFT) | 500 ms | 200 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-04 | 2024-03-11 |
API Pricing Comparison
Input Price per Million Tokens
Claude Opus 4.6
$5.00
Command R
$0.15
Output Price per Million Tokens
Claude Opus 4.6
$25.00
Command R
$0.60
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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.
Claude Opus 4.6 Quirks & Gotchas
- ▸Best for long-context document analysis and legal review
- ▸Tool calling requires structured prompt — prone to verbose refusal without explicit output schema
Command R Quirks & Gotchas
- ▸Cost-effective RAG model — strong multilingual search performance
- ▸Limited agentic capability — use Command R+ for complex multi-step tool use