Command R vs Mistral Small 4
Compare Cohere and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R
Mistral Small 4
Cost Differences
Mistral Small 4 costs less than Command R
Feature Comparison
| Feature | Command R | Mistral Small 4 |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Input Price | $0.15/1M tokens | $0.15/1M tokens |
| Output Price | $0.60/1M tokens | $0.60/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 4,096 tokens | 16,384 tokens |
| Category | efficient | efficient |
| Capabilities | textcode | textvisioncodereasoning |
| Release Date | 3/11/2024 | 3/18/2026 |
Command R vs Mistral Small 4: Which Should You Choose?
Choosing between Command R and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 4 is the more affordable option at $0.15/1M input tokens.
These models come from different providers — Cohere and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Cohere, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Small 4 would save you roughly $0.00/month compared to Command R. For startups and indie developers, that difference can be significant.
Output costs matter too. Command R charges $0.60/1M output tokens vs $0.60 for Mistral Small 4.
Multimodal capabilities: Mistral Small 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 Command R when:
- • You're already using Cohere's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose Mistral Small 4 when:
- • You need more capabilities (vision, reasoning)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using Mistral AI'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)
Mistral Small 4 (Mistral AI)
Start using Command R today
Sign Up for Cohere →Start using Mistral Small 4 today
Sign Up for Mistral AI →