Mistral Small 4 is the cheapest at $0.15/$0.60 per million tokens — 96% cheaper on input and 97% cheaper on output. For a model with similar capabilities, DeepSeek V4 Pro at $0.435/$0.87 offers the best balance of quality and cost savings (83% cheaper).

DeepSeek V4 Pro costs $0.435 input / $0.87 output per million tokens, compared to Command A's $2.50/$10.00. That's 83% cheaper on input and 91% cheaper on output. For a typical workload of 1M input + 500K output tokens per month, you'd save approximately $78,612 per year.

Command R at $0.50/$1.50 per million tokens is 80% cheaper on input and 85% cheaper on output. It stays in the Cohere ecosystem so there's no provider switching. Good for cost-conscious Cohere users, though it has the same 128K context window.

Mostly yes. Many alternative providers offer OpenAI-compatible APIs, so switching often requires just changing the API endpoint and key. DeepSeek, Together (Llama), and several others support the OpenAI API format directly. For Cohere-specific features like RAG connectors, you may need to adapt your integration.

For RAG tasks, Command R ($0.50/$1.50) stays in the Cohere ecosystem and is designed for retrieval-augmented generation. DeepSeek V4 Pro ($0.435/$0.87) also performs well on RAG benchmarks at a lower cost. GPT-5 ($1.25/$10) offers excellent RAG performance with broader tooling support.