All Comparisons
Gemini 2.5 Pro vs Mistral Large 3
Gemini 2.5 Pro
Google 🇺🇸
53.6
#156—
medium$1.25/M in · $10.00/M out
1.0M context
Mistral Large 3
Mistral AI 🇫🇷
17.5
#284—
lowMost Affordable
Gemini 2.5 Pro
$1.25/M input
Largest Context
Gemini 2.5 Pro
1.0M tokens
Best Benchmark Score
Gemini 2.5 Pro
53.6/100
Model Specifications
| Spec | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Provider | Mistral AI | |
| Release Date | May 2025 | Sep 2025 |
| Knowledge Cutoff | 2025-01-31 | — |
| Parameters | Undisclosed | 675000000000B |
| Context Window | 1.0M | — |
| Max Output | — | — |
| Open Source | No | Yes |
| License | proprietary | apache_2_0 |
| Tokenizer | — | — |
| Modality | — | — |
| Reasoning Model | No | No |
| Moderated | No | No |
Pricing Comparison
| Price (per 1M tokens) | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Input | $1.25 | — |
| Output | $10.00 | — |
API Provider Pricing
Capabilities
| Feature | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| Text Input | ||
| Image Input (Vision) | ||
| Audio Input | ||
| Video Input | ||
| File Input | ||
| Image Output | ||
| Audio Output | ||
| Tool Use | ||
| Structured Output (JSON) | ||
| Streaming | ||
| Reasoning Tokens | ||
| Web Search | ||
| Temperature Control | ||
| Top-P Sampling | ||
| Stop Sequences | ||
| Seed (Reproducibility) | ||
| Log Probabilities |
Category Comparison
Benchmark-by-Benchmark
coding
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| SWE-bench Verified | 63.2 | — |
math
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| AIME 2025 | 83 | — |
reasoning
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| GPQA Diamond | 83 | — |
| Humanity's Last Exam | 17.8 | — |
| ARC-AGI v2 | 4.9 | — |
multimodal
| Benchmark | Gemini 2.5 Pro | Mistral Large 3 |
|---|---|---|
| MMMU | 79.6 | — |
Category Winners
coding
44.1
math
57.6
reasoning
35.3
general
69.1
multimodal
80.0