Mistral Large 3 vs o3
Compare Mistral AI and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Mistral Large 3
o3
Cost Differences
o3 costs more than Mistral Large 3
Feature Comparison
| Feature | Mistral Large 3 | o3 |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Input Price | $0.50/1M tokens | $2.00/1M tokens |
| Output Price | $1.50/1M tokens | $8.00/1M tokens |
| Context Window | 256,000 tokens | 1,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | flagship | reasoning |
| Capabilities | textcodereasoning | textreasoningvisioncode |
| Release Date | 12/2/2025 | 4/16/2025 |
Mistral Large 3 vs o3: Which Should You Choose?
Choosing between Mistral Large 3 and o3 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Large 3 is the more affordable option at $0.50/1M input tokens — 75% cheaper than o3. Meanwhile, o3 offers a significantly larger context window at 1,000,000 tokens vs 256,000 for Mistral Large 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 Large 3 is a flagship model while o3 is reasoning. This means they're optimized for different workloads. Mistral Large 3 is built for complex tasks that require deeper reasoning, while o3 offers better value for routine operations.
Output costs matter too. Mistral Large 3 charges $1.50/1M output tokens vs $8.00 for o3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Large 3 has the edge here at $1.50/1M output tokens.
Multimodal capabilities: o3 supports vision (image inputs) while Mistral Large 3 is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Mistral Large 3 when:
- • Budget is a primary concern
- • You're already using Mistral AI's API ecosystem
Choose o3 when:
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision)
- • 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 Large 3 (Mistral AI)
o3 (OpenAI)
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