Google brings the deepest infrastructure advantage to the AI race. Their Gemini 2.5 Pro offers the industry's largest production context window at 1 million tokens, and their Flash models deliver some of the lowest per-token pricing available. Backed by custom TPU hardware and decades of ML research (Transformer architecture was invented at Google), they compete on both the frontier and the budget ends of the market.
Founded
1998 (Google); 2023 (Google DeepMind)
Headquarters
Mountain View, CA
CEO
Sundar Pichai
Models
2 active
Key Products
Gemini 2.5 ProGemini 2.0 FlashNotebookLMVertex AIGoogle AI Studio
Strengths
- ✓1M token context window
- ✓Lowest-cost budget models
- ✓Custom TPU infrastructure
- ✓Vertex AI enterprise platform
- ✓NotebookLM research integration
Google Models
| Model | Input / 1M | Output / 1M | Context | Capabilities |
|---|---|---|---|---|
| Gemini 2.5 Pro | $1.25 | $10.00 | 1M | text, vision, tool-use, code, reasoning |
| Gemini 2.0 Flash | $0.10 | $0.40 | 1M | text, vision, tool-use, code |
Prices per 1M tokens in USD. See the full pricing guide for detailed analysis.
Benchmark Scores
| Model | MMLU-Pro | HumanEval | GPQA Diamond | MATH | SWE-bench |
|---|---|---|---|---|---|
| Gemini 2.5 Pro | 91.2 | 93.8 | 71.9 | 90.5 | 59.4 |
| Gemini 2.0 Flash | 84.5 | 87.6 | 54.8 | 77.2 | 43.1 |
Comparisons
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