AI Model Comparison
Gemini 1.5 Pro
Gemini 1.5 Pro — Google large language model (2024) with a 2M-token context window and an MMLU score of 85.9%.
Key specifications
| MMLU (capability) | 85.9% |
|---|---|
| Context window (K tokens) | 2,000 |
| Input price ($/1M) | 1.3 |
| Output price ($/1M) | 5 |
About Gemini 1.5 Pro
The Gemini 1.5 Pro is a large language model from Google with a 2 million-token context window and an MMLU score of 85.9%. It is proprietary api, accessed via API. MMLU measures general knowledge and reasoning; real-world quality also depends on coding, tool use, latency and safety.
The comparisons below show how Gemini 1.5 Pro stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.
Frequently asked questions
Is the Gemini 1.5 Pro any good?
Gemini 1.5 Pro — Google large language model (2024) with a 2M-token context window and an MMLU score of 85.9%.
What are the key specs of the Gemini 1.5 Pro?
See the specification table above for the full breakdown.
✓ Reviewed by Priya Nair, Data Quality Reviewer.
Last updated 2026-05-01