Command R+ vs DeepSeek V3
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V3 is 89% cheaper on input tokens - better for high-volume workloads.
- •DeepSeek V3 is open-source: fine-tune it, self-host it, or use any inference provider. Command R+ is closed-source.
Specs comparison
| Command R+ | DeepSeek V3 | |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Type | Closed source | Open source |
| Context window | 128K | 128K |
| Input / 1M tokens | $2.50 | ✓$0.27 |
| Output / 1M tokens | $10.00 | $1.10 |
| Release date | 2024-04 | 2024-12 |
Benchmarks
| Benchmark | Command R+ | DeepSeek V3 |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | 88.5% |
| HumanEval | - | 90.2% |
| Aider Polyglot | - | 55.0% |
Scores sourced from official provider release posts.
Strengths
Command R+
- ✓Purpose-built for RAG with citation grounding
- ✓Low hallucination rate on retrieval tasks
- ✓Reliable multi-step tool calling
- ✓Supports 10 business languages natively
- ✓Available for on-premise deployment
DeepSeek V3
- ✓Near-GPT-4o quality at a fraction of the price
- ✓Open weights - self-host or fine-tune freely
- ✓Efficient MoE architecture reduces inference cost
- ✓Strong coding (Aider polyglot, HumanEval)
- ✓Good instruction following and structured output
Which should you choose?
Choose Command R+ if you need...
- →Enterprise RAG applications
- →Knowledge base Q&A with citations
- →Multi-step agentic workflows
- →On-premise enterprise deployments
Choose DeepSeek V3 if you need...
- →Cost-sensitive high-volume inference
- →Self-hosted deployments
- →Fine-tuning for specialized domains
- →Coding assistants