DeepSeek R1 V3.2 vs Mistral Small 4
Compare DeepSeek and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
Mistral Small 4
Cost Differences
Mistral Small 4 costs less than DeepSeek R1 V3.2
Feature Comparison
| Feature | DeepSeek R1 V3.2 | Mistral Small 4 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Input Price | $0.28/1M tokens | $0.15/1M tokens |
| Output Price | $0.42/1M tokens | $0.60/1M tokens |
| Context Window | 128,000 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 16,384 tokens |
| Category | reasoning | efficient |
| Capabilities | textreasoningcode | textvisioncodereasoning |
| Release Date | 1/20/2025 | 3/18/2026 |
DeepSeek R1 V3.2 vs Mistral Small 4: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and Mistral Small 4 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens.
These models come from different providers — DeepSeek and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while Mistral Small 4 is efficient. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while Mistral Small 4 offers better value for routine operations.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $0.60 for Mistral Small 4. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Multimodal capabilities: Mistral Small 4 supports vision (image inputs) while DeepSeek R1 V3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • You need longer outputs (up to 65,536 tokens)
- • You're already using DeepSeek's API ecosystem
Choose Mistral Small 4 when:
- • Budget is a primary concern
- • You need more capabilities (vision)
- • 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
DeepSeek R1 V3.2 (DeepSeek)
Mistral Small 4 (Mistral AI)
Start using DeepSeek R1 V3.2 today
Sign Up for DeepSeek →Start using Mistral Small 4 today
Sign Up for Mistral AI →