GPT-4.1 mini vs Mistral Small 3.2
Compare OpenAI and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
GPT-4.1 mini
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than GPT-4.1 mini
Feature Comparison
| Feature | GPT-4.1 mini | Mistral Small 3.2 |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Input Price | $0.40/1M tokens | $0.06/1M tokens |
| Output Price | $1.60/1M tokens | $0.18/1M tokens |
| Context Window | 200,000 tokens | 128,000 tokens |
| Max Output | 16,384 tokens | 8,192 tokens |
| Category | efficient | efficient |
| Capabilities | textvisioncode | textcode |
| Release Date | 4/14/2025 | 12/2/2025 |
GPT-4.1 mini vs Mistral Small 3.2: Which Should You Choose?
Choosing between GPT-4.1 mini 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 $0.06/1M input tokens — 85% cheaper than GPT-4.1 mini. Meanwhile, GPT-4.1 mini offers a significantly larger context window at 200,000 tokens vs 128,000 for Mistral Small 3.2.
These models come from different providers — OpenAI and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, 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 3.2 would save you roughly $315.00/month compared to GPT-4.1 mini. For startups and indie developers, that difference can be significant.
Output costs matter too. GPT-4.1 mini charges $1.60/1M output tokens vs $0.18 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 $0.18/1M output tokens.
Multimodal capabilities: GPT-4.1 mini 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 GPT-4.1 mini when:
- • You need a larger context window (200,000 tokens)
- • You need more capabilities (vision)
- • You need longer outputs (up to 16,384 tokens)
- • You're already using OpenAI's API ecosystem
- • You're running high-volume, latency-sensitive workloads
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
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4.1 mini (OpenAI)
Mistral Small 3.2 (Mistral AI)
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