Back to GalleryBack
Model Comparison
Model Comparison
Compare performance, benchmarks, and characteristics
gemini-3-pro-preview
gemini
Context1M tokens
Input Price$2 / 1M tokens
Output Price$12 / 1M tokens
Loading comparison...
Model Comparison
| Metric |  |  |
|---|---|---|
Pricing | ||
| Input Price | $2 / 1M tokens | $0.6 / 1M tokens |
| Output Price | $12 / 1M tokens | $2.2 / 1M tokens |
Capabilities | ||
| Context Window | 1M tokens | 200K tokens |
| Capabilities | tools, reasoning | tools, reasoning |
| Input type | text, image, audio, video | text |
Category Scores | ||
| Overall Average | 80.1 | 51.0 |
| Maths | 95.7 | 44.3 |
| Finance | 84.3 | 44.5 |
| Science | 84.7 | 71.6 |
| Writing | 75.1 | 48.0 |
| Academia | 82.1 | 62.9 |
| Marketing | 76.6 | 47.0 |
| Programming | 62.3 | 38.7 |
Benchmark Tests | ||
| HLE | 37.2 | 5.2 |
| GPQA | 91.3 | 81.0 |
| SciCode | 56.1 | 33.1 |
| MMLU-Pro | 89.8 | 78.4 |
| LiveCodeBench | 91.7 | 56.1 |
| AA Math Index | 95.7 | 44.3 |
| AA Coding Index | 62.3 | 38.7 |
| AAII | 72.8 | 44.7 |
gemini-3-pro-preview Advantages
- • Higher benchmark scores (80.1 vs 51.0)
- • Larger context window (1M tokens vs 200K tokens)
glm-4.6 Advantages
- • Lower input token cost ($0.6 / 1M tokens vs $2 / 1M tokens)