Command R+ vs o1
Pricing, benchmarks, and use case comparison
Quick take
- •Command R+ is meaningfully stronger at speed (72 vs 30 on our capability index).
- •o1 is meaningfully stronger at multimodal (60 vs 5).
- •Command R+ is 83% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
- •Command R+ has a 128K tokens context window vs 200,000 tokens (100,000 max output) - better for whole-repo or long-document work.
Specs comparison
| Command R+ | o1 | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Type | Closed source | Closed source |
| Context window | ✓128K tokens | 200,000 tokens (100,000 max output) |
| Input / 1M tokens | ✓$2.50 | $15.00 |
| Output / 1M tokens | $10.00 | $60.00 |
| Release date | 2024-08 | 2024-12 |
Benchmarks
| Benchmark | Command R+ | o1 |
|---|---|---|
| RAG (BEIR) | Top-5 | - |
| MMLU | ~75% | - |
| AIME 2024 | - | 74% |
| GPQA Diamond | - | 77.3% |
| Codeforces | - | ~89th percentile |
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 o1 if...
- →Hard, multi-step math, science, and logic problems that reward deliberate reasoning
- →Competitive programming and algorithmic problem solving
- →Existing o1-based pipelines already validated for reasoning tasks