Gemini API pricing in 2026: every model, current rates
Google prices the Gemini API per million tokens with a wide spread of tiers — from Flash-Lite models under a dollar to the flagship Gemini 3.1 Pro. All current models ship a 1M-token context window, which makes Gemini the budget option for long-document work.
| Model | Input | Cached input | Output | Context |
|---|---|---|---|---|
| Gemini 3.1 Pro | $2.00 | $0.20 | $12.00 | 1M |
| Gemini 3.6 Flash | $1.50 | $0.15 | $7.50 | 1M |
| Gemini 3.5 Flash | $1.50 | $0.15 | $9.00 | 1M |
| Gemini 3.5 Flash-Lite | $0.30 | $0.03 | $2.50 | 1M |
| Gemini 3 Flash | $0.50 | $0.05 | $3.00 | 1M |
| Gemini 2.5 Pro | $1.25 | $0.125 | $10.00 | 1M |
| Gemini 2.5 Flash-Lite | $0.10 | $0.01 | $0.40 | 1M |
Standard tier, short-context rates. Vendors publish separate Batch, Flex and Priority tiers and a higher long-context tier; this table shows the Standard short-context rate only.
Pro-tier models charge elevated rates above 200K input tokens (Gemini 3.1 Pro rises to $4/$18). Cached input bills at 10% of the input rate on Gemini; other vendors differ (xAI charges 16-25%).
Where Gemini wins on price
Long context is the headline: every current Gemini model offers a 1M-token window at no premium tier, and even the $0.10 Flash-Lite reads entire codebases or book-length documents. For document-heavy RAG, that often beats paying a bigger model to work around a smaller window. Gemini 3 Flash at $0.50/$3 is the sweet spot for general workloads; 2.5 Flash-Lite at $0.10/$0.40 is among the cheapest capable APIs anywhere.
Watch the long-context surcharge
Pro models bill roughly double above 200K input tokens per request ($4/$18 on 3.1 Pro). If your prompts routinely exceed that, model the surcharge — or split documents across requests. Flash tiers keep flat pricing. Compare against Claude and GPT for your exact mix in the calculator or read the cheapest APIs ranking.
→ What would YOUR workload cost?Enter your token mix once — compare all 30 models side by side, with caching and batch discounts.