Ministral 3 14B vs Mistral Small 3.2
Ministral 3 14B vs Mistral Small 3.2: Mistral Small 3.2 is cheaper for input-heavy usage ($0.10/M vs $0.20/M input tokens), while Ministral 3 14B is better for long-context tasks (256,000 tokens).
Direct answer: choose Mistral Small 3.2 for lower token spend and choose Ministral 3 14B when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Ministral 3 14B
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Ministral 3 14B
Quick Recommendation
Winner for direct API pricing: Mistral Small 3.2. At the default workload, Mistral Small 3.2 saves about $0.15/month ($1.825/year) versus Ministral 3 14B.
Feature Comparison
| Feature | Ministral 3 14B | Mistral Small 3.2 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.20/1M tokens | $0.10/1M tokens |
| Output Price | $0.20/1M tokens | $0.30/1M tokens |
| Context Window | 256,000 tokens | 128,000 tokens |
| Max Output | 32,768 tokens | 8,192 tokens |
| Category | balanced | efficient |
| Capabilities | textvision | textcode |
| Release Date | 12/2/2025 | 12/2/2025 |
Ministral 3 14B vs Mistral Small 3.2: Which Should You Choose?
Choosing between Ministral 3 14B 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 $0.10/1M input tokens — 50% cheaper than Ministral 3 14B. Meanwhile, Ministral 3 14B offers a significantly larger context window at 256,000 tokens vs 128,000 for Mistral Small 3.2.
These models target different tiers: Ministral 3 14B is a balanced model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Mistral Small 3.2 targets more demanding workloads, while Ministral 3 14B provides a cost-effective option for everyday tasks.
Output costs matter too. Ministral 3 14B charges $0.20/1M output tokens vs $0.30 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 $0.30/1M output tokens.
Multimodal capabilities: Ministral 3 14B supports vision (image inputs) while Mistral Small 3.2 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Ministral 3 14B when:
- • You need a larger context window (256,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using Mistral AI's API ecosystem
Choose Mistral Small 3.2 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Pros and Caveats at a Glance
Ministral 3 14B
- • Input pricing: $0.20/M tokens
- • Output pricing: $0.20/M tokens
- • Context window: 256,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Mistral Small 3.2
Mistral Small 3.2
- • Input pricing: $0.10/M tokens
- • Output pricing: $0.30/M tokens
- • Context window: 128,000 tokens
- • Max output: 8,192 tokens
Watch out for
- • Higher output cost than Ministral 3 14B
- • Smaller context window than Ministral 3 14B
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Ministral 3 14B (Mistral AI)
Mistral Small 3.2 (Mistral AI)
Start using Ministral 3 14B today
Sign Up for Mistral AI →Start using Mistral Small 3.2 today
Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, Ministral 3 14B or Mistral Small 3.2?▼
What is the context window difference between Ministral 3 14B and Mistral Small 3.2?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.