Gemini 2.5 Pro vs Mixtral 8x22B Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 2.5 Pro and Mixtral 8x22B Instruct.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Technical Specifications
| Specification | Gemini 2.5 Pro | Mixtral 8x22B Instruct |
|---|---|---|
| Provider | Mistral | |
| Context Window | 1,048,576 tokens | 65,536 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2024-04-17 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
Mixtral 8x22B Instruct
$2.00
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
Mixtral 8x22B Instruct
$6.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
Mixtral 8x22B Instruct Quirks & Gotchas
No developer gotchas reported.