Mistral Small 4 vs o3-mini
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Mistral Small 4
o3-mini
Cost Differences
o3-mini costs more than Mistral Small 4
Feature Comparison
| Feature | Mistral Small 4 | o3-mini |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.15/1M tokens | $1.10/1M tokens |
| Output Price | $0.60/1M tokens | $4.40/1M tokens |
| Context Window | 128,000 tokens | 500,000 tokens |
| Max Output | 16,384 tokens | 65,536 tokens |
| Category | efficient | reasoning |
| Capabilities | textvisioncodereasoning | textreasoningcode |
| Release Date | 3/18/2026 | 1/31/2025 |
Mistral Small 4 vs o3-mini: Which Should You Choose?
Choosing between Mistral Small 4 and o3-mini 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 — 86% cheaper than o3-mini. Meanwhile, o3-mini offers a significantly larger context window at 500,000 tokens vs 128,000 for Mistral Small 4.
These models come from different providers — Mistral AI and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Mistral AI, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Mistral Small 4 is a efficient model while o3-mini is reasoning. This means they're optimized for different workloads. o3-mini targets more demanding workloads, while Mistral Small 4 provides a cost-effective option for everyday tasks.
Output costs matter too. Mistral Small 4 charges $0.60/1M output tokens vs $4.40 for o3-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 4 has the edge here at $0.60/1M output tokens.
Multimodal capabilities: Mistral Small 4 supports vision (image inputs) while o3-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
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
Choose o3-mini when:
- • You need a larger context window (500,000 tokens)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Mistral Small 4 (Mistral AI)
o3-mini (OpenAI)
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