Gemini 2.5 Pro vs Mistral Large 3
Compare Google and Mistral AI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini 2.5 Pro
Mistral Large 3
Cost Differences
Mistral Large 3 costs less than Gemini 2.5 Pro
Feature Comparison
| Feature | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Provider | Mistral AI | |
| Input Price | $1.25/1M tokens | $0.50/1M tokens |
| Output Price | $10.00/1M tokens | $1.50/1M tokens |
| Context Window | 2,000,000 tokens | 256,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | flagship | flagship |
| Capabilities | textvisionaudiovideocode | textcodereasoning |
| Release Date | 3/25/2025 | 12/2/2025 |
Gemini 2.5 Pro vs Mistral Large 3: Which Should You Choose?
Choosing between Gemini 2.5 Pro and Mistral Large 3 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 — 60% cheaper than Gemini 2.5 Pro. Meanwhile, Gemini 2.5 Pro offers a significantly larger context window at 2,000,000 tokens vs 256,000 for Mistral Large 3.
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.
Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Large 3 would save you roughly $1,500.00/month compared to Gemini 2.5 Pro. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 2.5 Pro charges $10.00/1M output tokens vs $1.50 for Mistral Large 3. 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: Gemini 2.5 Pro 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 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 Large 3 when:
- • Budget is a primary concern
- • 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)
Mistral Large 3 (Mistral AI)
Start using Gemini 2.5 Pro today
Sign Up for Google →Start using Mistral Large 3 today
Sign Up for Mistral AI →