Command R+ vs Mistral Small 3.2
Compare Cohere and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Command R+
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Command R+
Feature Comparison
| Feature | Command R+ | Mistral Small 3.2 |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Input Price | $2.50/1M tokens | $0.075/1M tokens |
| Output Price | $10.00/1M tokens | $0.20/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 4,096 tokens | 8,192 tokens |
| Category | flagship | efficient |
| Capabilities | textcodereasoning | textcode |
| Release Date | 4/4/2024 | 12/2/2025 |
Command R+ vs Mistral Small 3.2: Which Should You Choose?
Choosing between Command R+ and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.075/1M input tokens — 97% cheaper than Command R+.
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.
These models target different tiers: Command R+ is a flagship model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Command R+ is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.
Output costs matter too. Command R+ charges $10.00/1M output tokens vs $0.20 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.20/1M output tokens.
Best Use Cases
Choose Command R+ when:
- • You need more capabilities (reasoning)
- • You're already using Cohere's API ecosystem
Choose Mistral Small 3.2 when:
- • Budget is a primary concern
- • You need longer outputs (up to 8,192 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 3.2 (Mistral AI)
Start using Command R+ today
Sign Up for Cohere →Start using Mistral Small 3.2 today
Sign Up for Mistral AI →