Gemini 2.5 Computer Use Preview API Pricing
Gemini 2.5 Computer Use Preview is Google's browser-agent preview with Gemini Pro-style tiering. $1.25/M input, $10/M output. The base tier is shown here; Google also lists a higher tier above 200K input tokens.
Run the numbers.
Calculator pre-loaded with Gemini 2.5 Computer Use Preview rates. Tweak spend, output mix, or cache hit rate to compare this model with current alternatives.
Real-world presets.
Repo-wide bug fix
Reading 100-page contracts
Support agent ticket triage
Research planning turn
Price history.
Paste text. See tokens. See cost.
This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| Gemini 2.5 Computer Use Preview | $1.25 cache $1.25 | $10.00 | $1.95 current page | documented elsewhere | Browser-agent preview loops |
| Gemini 2.5 Pro | $1.25 cache $0.13 | $10.00 | $1.10 cheaper | 2M | Gemini multimodal workloads |
| Gemini 2.5 Flash | $0.30 cache $0.03 | $2.50 | $0.27 cheaper | 1M | Gemini multimodal workloads |
| Gemini 2.5 Flash-Lite | $0.10 cache $0.01 | $0.40 | $0.06 cheaper | 1M | Gemini multimodal workloads |
| GPT-5.4 | $2.50 cache $0.25 | $15.00 | $1.80 cheaper | 1.05M | Current OpenAI replacement |
| Claude Sonnet 4.6 | $3.00 cache $0.30 | $15.00 | $1.92 cheaper | 1M | Current Claude agents |
| DeepSeek V4 Pro | $0.43 cache $0.00 | $0.87 | $0.14 cheaper | 1M | Low-cost reasoning and coding |
Frequently asked.
Short answers for teams checking Gemini 2.5 Computer Use Preview pricing, status, and migration choices.
Q · 01 Is Gemini 2.5 Computer Use Preview still available? +
Q · 02 How much does Gemini 2.5 Computer Use Preview cost? +
Q · 03 Is cached-input pricing included? +
Q · 04 What should teams compare it against? +
current same-provider models.