Gemini 2.5 Pro vs Mistral Large
2026 - Pricing, benchmarks, and use case comparison
Quick take
- •Gemini 2.5 Pro is 58% cheaper on input tokens - better for high-volume workloads.
- •Gemini 2.5 Pro has a 1M context window - 8x larger than Mistral Large's 128K. Better for long documents and large codebases.
Specs comparison
| Gemini 2.5 Pro | Mistral Large | |
|---|---|---|
| Provider | Google DeepMind | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓1M | 128K |
| Input / 1M tokens | ✓$1.25 | $3.00 |
| Output / 1M tokens | $10.00 | $9.00 |
| Release date | 2025-03 | 2024-07 |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Mistral Large |
|---|---|---|
| GPQA Diamond | 86.4% | - |
| MMLU | 90.9% | 84.0% |
| SWE-bench Verified | 63.2% | - |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts.
Strengths
Gemini 2.5 Pro
- ✓Largest commercial context window (1M tokens)
- ✓Top benchmark scores on science and math
- ✓Strong multimodal: video, audio, images
- ✓Competitive pricing for the capability tier
- ✓Native Google Search and code execution tools
Mistral Large
- ✓Native multilingual support across 12+ languages
- ✓Reliable function calling and tool use
- ✓Strong coding across 80+ programming languages
- ✓EU-based inference for data compliance
- ✓128K context at competitive pricing
Which should you choose?
Choose Gemini 2.5 Pro if you need...
- →Very long document analysis
- →Video and multimodal understanding
- →Scientific research tasks
- →Large codebase comprehension
Choose Mistral Large if you need...
- →Multilingual European deployments
- →Tool-calling and agentic pipelines
- →Code generation and review
- →GDPR-compliant AI applications