Command R vs o3-pro
Compare Cohere and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R
o3-pro
Cost Differences
o3-pro costs more than Command R
Feature Comparison
| Feature | Command R | o3-pro |
|---|---|---|
| Provider | Cohere | OpenAI |
| Input Price | $0.15/1M tokens | $20.00/1M tokens |
| Output Price | $0.60/1M tokens | $80.00/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 4,096 tokens | 131,072 tokens |
| Category | efficient | reasoning |
| Capabilities | textcode | textreasoningcode |
| Release Date | 3/11/2024 | 6/10/2025 |
Command R vs o3-pro: Which Should You Choose?
Choosing between Command R and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. Command R is the more affordable option at $0.15/1M input tokens — 99% cheaper than o3-pro. Meanwhile, o3-pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Command R.
These models come from different providers — Cohere and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Command R is a efficient model while o3-pro is reasoning. This means they're optimized for different workloads. o3-pro targets more demanding workloads, while Command R provides a cost-effective option for everyday tasks.
Output costs matter too. Command R charges $0.60/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Command R has the edge here at $0.60/1M output tokens.
Best Use Cases
Choose Command R when:
- • Budget is a primary concern
- • You're already using Cohere's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose o3-pro when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Command R (Cohere)
o3-pro (OpenAI)
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