Mistral Medium 3 vs o3-pro
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Mistral Medium 3
o3-pro
Cost Differences
o3-pro costs more than Mistral Medium 3
Feature Comparison
| Feature | Mistral Medium 3 | o3-pro |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.40/1M tokens | $20.00/1M tokens |
| Output Price | $2.00/1M tokens | $80.00/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 16,384 tokens | 131,072 tokens |
| Category | balanced | reasoning |
| Capabilities | textcode | textreasoningcode |
| Release Date | 5/7/2025 | 6/10/2025 |
Mistral Medium 3 vs o3-pro: Which Should You Choose?
Choosing between Mistral Medium 3 and o3-pro depends on your priorities: cost efficiency, context length, or raw capability. Mistral Medium 3 is the more affordable option at $0.40/1M input tokens — 98% cheaper than o3-pro. Meanwhile, o3-pro offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Mistral Medium 3.
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 Medium 3 is a balanced model while o3-pro is reasoning. This means they're optimized for different workloads. o3-pro targets more demanding workloads, while Mistral Medium 3 provides a cost-effective option for everyday tasks.
Output costs matter too. Mistral Medium 3 charges $2.00/1M output tokens vs $80.00 for o3-pro. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Medium 3 has the edge here at $2.00/1M output tokens.
Best Use Cases
Choose Mistral Medium 3 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Choose o3-pro when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (reasoning)
- • You need longer outputs (up to 131,072 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 Medium 3 (Mistral AI)
o3-pro (OpenAI)
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