Command R+ vs GPT-4o
Pricing, benchmarks, and use case comparison
Quick take
- •GPT-4o leads on 1 of 1 shared benchmarks, including MMLU (88.7% vs ~75%).
- •Command R+ is meaningfully stronger at long context (78 vs 55 on our capability index).
- •GPT-4o is meaningfully stronger at multimodal (80 vs 5).
- •Command R+ has a 128K tokens context window vs 128,000 tokens (16,384 max output) - better for whole-repo or long-document work.
Specs comparison
| Command R+ | GPT-4o | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓128K tokens | 128,000 tokens (16,384 max output) |
| Input / 1M tokens | $2.50 | $2.50 |
| Output / 1M tokens | $10.00 | $10.00 |
| Release date | 2024-08 | 2024-05 |
Benchmarks
| Benchmark | Command R+ | GPT-4o |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | ✓88.7% |
| HumanEval | - | 90.2% |
| MATH | - | 76.6% |
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 GPT-4o if...
- →Everyday assistant, drafting, summarization, and classification tasks
- →Latency- and cost-sensitive applications at scale
- →Multimodal tasks needing image understanding with fast responses