Gemini 2.5 Pro vs Magistral Medium
Compare Google and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.5 Pro
Magistral Medium
Cost Differences
Magistral Medium costs less than Gemini 2.5 Pro
Feature Comparison
| Feature | Gemini 2.5 Pro | Magistral Medium |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $1.25/1M tokens | $2.00/1M tokens |
| Output Price | $10.00/1M tokens | $5.00/1M tokens |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudiovideocode | textreasoning |
| Release Date | 3/25/2025 | 12/15/2025 |
Gemini 2.5 Pro vs Magistral Medium: Which Should You Choose?
Choosing between Gemini 2.5 Pro and Magistral Medium depends on your priorities: cost efficiency, context length, or raw capability. Magistral Medium is the more affordable option at $2.00/1M input tokens. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 128,000 for Magistral Medium.
These models come from different providers — Google and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Gemini 2.5 Pro is a flagship model while Magistral Medium is reasoning. This means they're optimized for different workloads. Gemini 2.5 Pro is built for complex tasks that require deeper reasoning, while Magistral Medium offers better value for routine operations.
Output costs matter too. Gemini 2.5 Pro charges $10.00/1M output tokens vs $5.00 for Magistral Medium. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Magistral Medium has the edge here at $5.00/1M output tokens.
Multimodal capabilities: Gemini 2.5 Pro supports vision (image inputs) while Magistral Medium is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Gemini 2.5 Pro when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (vision, audio, video, code)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Google's API ecosystem
Choose Magistral Medium when:
- • You're already using Mistral AI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 2.5 Pro (Google)
Magistral Medium (Mistral AI)
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