Command R+ vs Grok 4.1 Fast
Compare Cohere and xAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R+
Grok 4.1 Fast
Cost Differences
Grok 4.1 Fast costs less than Command R+
Feature Comparison
| Feature | Command R+ | Grok 4.1 Fast |
|---|---|---|
| Provider | Cohere | xAI |
| Input Price | $2.50/1M tokens | $0.20/1M tokens |
| Output Price | $10.00/1M tokens | $0.50/1M tokens |
| Context Window | 128,000 tokens | 2,000,000 tokens |
| Max Output | 4,096 tokens | 131,072 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textreasoningcode |
| Release Date | 4/4/2024 | 1/15/2026 |
Command R+ vs Grok 4.1 Fast: Which Should You Choose?
Choosing between Command R+ and Grok 4.1 Fast depends on your priorities: cost efficiency, context length, or raw capability. Grok 4.1 Fast is the more affordable option at $0.20/1M input tokens — 92% cheaper than Command R+. Meanwhile, Grok 4.1 Fast offers a significantly larger context window at 2,000,000 tokens vs 128,000 for Command R+.
These models come from different providers — Cohere and xAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to xAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Command R+ is a flagship model while Grok 4.1 Fast is efficient. This means they're optimized for different workloads. Command R+ is built for complex tasks that require deeper reasoning, while Grok 4.1 Fast offers better value for routine operations.
Output costs matter too. Command R+ charges $10.00/1M output tokens vs $0.50 for Grok 4.1 Fast. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Grok 4.1 Fast has the edge here at $0.50/1M output tokens.
Best Use Cases
Choose Command R+ when:
- • You're already using Cohere's API ecosystem
Choose Grok 4.1 Fast when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using xAI'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
Command R+ (Cohere)
Grok 4.1 Fast (xAI)
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