Google Gemini AI Models
Multimodal AI with massive context windows and deep Google ecosystem integration.
5 active modelsAvailable Models
$1.25 / $10.00 per 1M
$0.10 / $0.40 per 1M
$0.10 / $0.40 per 1M
$1.50 / $9.00 per 1M
$2.00 / $12.00 per 1M
About Google Gemini Models
Usage patterns
Google Gemini's 5 active variants center on multimodal understanding — vision-capable models from $0.10 to $2.00/1M input. Pick by context size for document/image-heavy workloads; the cheapest tier handles classification, the flagship handles complex visual reasoning.
Pricing across the lineup
Input pricing varies 95% across the lineup ($0.10 → $2.00/1M). At 1M requests/month with ~1K input tokens, the cheapest variant costs roughly $0.10 while the flagship runs $2.00 — a 95% gap that compounds fast at scale. Output-token pricing follows the same tiering, so long-form generation amplifies the difference.
Provider notes
Google Gemini sits in the General Purpose category. Multimodal AI with massive context windows and deep Google ecosystem integration. The 1M maximum context window (on Gemini 2.5 Pro) is the largest in this lineup — enough to ingest entire codebases or long documents in one call.
Where Google Gemini fits
Real-world fit: Google Gemini variants are commonly used for code-completion copilots, automated refactoring pipelines, and test generation at scale. The cheaper coding variants handle bulk linting/fixing; the flagship is reserved for architectural changes and complex bug fixes.