Claude Opus 4.7 vs Command R
Claude Opus 4.7 vs Command R: Command R is cheaper for input-heavy usage ($0.15/M vs $5.00/M input tokens), while Claude Opus 4.7 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Command R for lower token spend and choose Claude Opus 4.7 when your workload needs longer context.
Common pricing searches covered on this page: Claude Opus 4.7 vs Command R • Claude Opus 4.7 vs Command R pricing • Claude Opus 4.7 vs Command R API pricing and opus 4 7 vs command r pricing.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Opus 4.7
Command R
Cost Differences
Command R costs less than Claude Opus 4.7
Quick Recommendation
Winner for direct API pricing: Command R. At the default workload, Command R saves about $51.15/month ($622.325/year) versus Claude Opus 4.7.
Feature Comparison
| Feature | Claude Opus 4.7 | Command R |
|---|---|---|
| Provider | Anthropic | Cohere |
| Input Price | $5.00/1M tokens | $0.15/1M tokens |
| Output Price | $25.00/1M tokens | $0.60/1M tokens |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Max Output | 128,000 tokens | 4,096 tokens |
| Category | flagship | efficient |
| Capabilities | textvisionreasoningcode | textcode |
| Release Date | 4/16/2026 | 3/11/2024 |
Claude Opus 4.7 vs Command R: Which Should You Choose?
Choosing between Claude Opus 4.7 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 — 97% cheaper than Claude Opus 4.7. Meanwhile, Claude Opus 4.7 offers a significantly larger context window at 1,000,000 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 4.7 is a flagship model while Command R is efficient. This means they're optimized for different workloads. Claude Opus 4.7 is built for complex tasks that require deeper reasoning, while Command R offers better value for routine operations.
Output costs matter too. Claude Opus 4.7 charges $25.00/1M 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 4.7 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 4.7 when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 128,000 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
Pros and Caveats at a Glance
Claude Opus 4.7
- • Input pricing: $5.00/M tokens
- • Output pricing: $25.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than Command R
- • Higher output cost than Command R
Command R
- • Input pricing: $0.15/M tokens
- • Output pricing: $0.60/M tokens
- • Context window: 128,000 tokens
- • Max output: 4,096 tokens
Watch out for
- • Smaller context window than Claude Opus 4.7
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Opus 4.7 (Anthropic)
Command R (Cohere)
Start using Claude Opus 4.7 today
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Sign Up for Cohere →Frequently Asked Questions
Which is cheaper, Claude Opus 4.7 or Command R?▼
What is the context window difference between Claude Opus 4.7 and Command R?▼
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Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and Cohere API pricing beyond this model matchup?▼
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