Gemini 2.5 Pro vs Mistral Small 3.2
Compare Google and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.5 Pro
Mistral Small 3.2
Cost Differences
Mistral Small 3.2 costs less than Gemini 2.5 Pro
Feature Comparison
| Feature | Gemini 2.5 Pro | Mistral Small 3.2 |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $1.25/1M tokens | $0.06/1M tokens |
| Output Price | $10.00/1M tokens | $0.18/1M tokens |
| Context Window | 2,000,000 tokens | 128,000 tokens |
| Max Output | 131,072 tokens | 8,192 tokens |
| Category | flagship | efficient |
| Capabilities | textvisionaudiovideocode | textcode |
| Release Date | 3/25/2025 | 12/2/2025 |
Gemini 2.5 Pro vs Mistral Small 3.2: Which Should You Choose?
Choosing between Gemini 2.5 Pro 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 — 95% cheaper than Gemini 2.5 Pro. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 128,000 for Mistral Small 3.2.
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 Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Gemini 2.5 Pro is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.
Output costs matter too. Gemini 2.5 Pro charges $10.00/1M 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: Gemini 2.5 Pro 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 Gemini 2.5 Pro when:
- • You need a larger context window (2,000,000 tokens)
- • You need more capabilities (vision, audio, video)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Google's API ecosystem
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
Gemini 2.5 Pro (Google)
Mistral Small 3.2 (Mistral AI)
Start using Gemini 2.5 Pro today
Sign Up for Google →Start using Mistral Small 3.2 today
Sign Up for Mistral AI →