Claude Opus 4 vs Command R
Compare Anthropic and Cohere AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Opus 4
Command R
Cost Differences
Command R costs less than Claude Opus 4
Feature Comparison
| Feature | Claude Opus 4 | Command R |
|---|---|---|
| Provider | Anthropic | Cohere |
| Input Price | $15.00/1M tokens | $0.15/1M tokens |
| Output Price | $75.00/1M tokens | $0.60/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 32,000 tokens | 4,096 tokens |
| Category | flagship | efficient |
| Capabilities | textvisioncodereasoning | textcode |
| Release Date | 5/14/2025 | 3/11/2024 |
Claude Opus 4 vs Command R: Which Should You Choose?
Choosing between Claude Opus 4 and Command R 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 Claude Opus 4. Meanwhile, Claude Opus 4 offers a significantly larger context window at 200,000 tokens vs 128,000 for Command R.
These models come from different providers — Anthropic and Cohere — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to Cohereinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Claude Opus 4 is a flagship model while Command R is efficient. This means they're optimized for different workloads. Claude Opus 4 is built for complex tasks that require deeper reasoning, while Command R offers better value for routine operations.
Output costs matter too. Claude Opus 4 charges $75.00/1M output tokens vs $0.60 for Command R. 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.
Multimodal capabilities: Claude Opus 4 supports vision (image inputs) while Command R is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude Opus 4 when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 32,000 tokens)
- • You're already using Anthropic's API ecosystem
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
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Opus 4 (Anthropic)
Command R (Cohere)
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