Command R+ vs DeepSeek V4
Pricing, benchmarks, and use case comparison
Quick take
- •DeepSeek V4 is meaningfully stronger at math (93 vs 58).
- •DeepSeek V4 is open-weights (free to self-host); Command R+ is paid API only.
- •DeepSeek V4 has a 1M tokens context window vs 128K tokens - better for whole-repo or long-document work.
Specs comparison
| Command R+ | DeepSeek V4 | |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Type | Closed source | Open source |
| Context window | 128K tokens | ✓1M tokens |
| Input / 1M tokens | $2.50 | ✓Free (self-host) |
| Output / 1M tokens | $10.00 | Free (self-host) |
| Release date | 2024-08 | 2026-04 |
Benchmarks
| Benchmark | Command R+ | DeepSeek V4 |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | - |
| SWE-bench Verified | - | 80.6% |
| Math / STEM / Coding (open-model comparison) | - | Best among open models (per DeepSeek) |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Command R+ if...
- →Your core use case is grounded RAG with citations
- →You need reliable multi-step tool/agent orchestration
- →You want an enterprise model available on Bedrock
- →You need multilingual responses across the 10 optimized languages
Choose DeepSeek V4 if...
- →You need a frontier-class open model you can self-host for data control
- →Your workload involves very long documents, codebases, or agent trajectories (up to 1M tokens)
- →You want top-tier agentic coding at a fraction of closed-model cost
- →You need to fine-tune or customize a strong base model