Gemini 2.5 Pro
Pricing & Specs
Google (Gemini) · $1.25 input / $10 output per 1M tokens · 1.04858M context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Gemini 2.5 Pro costs about $0.0063 — roughly $6.25 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
Gemini 2.5 Pro API Pricing
| Tokens | Price |
|---|---|
| Input | $1.25 / 1M tokens |
| Output | $10 / 1M tokens |
| Cached input | $0.125 / 1M tokens |
Context caching: $0.125/1M (prompts ≤200k), $0.25/1M (prompts >200k). Storage: $4.50/1M tokens per hour.
What that means in practice
Gemini 2.5 Pro Specs
| Spec | Value |
|---|---|
| Context window | 1.04858M tokens |
| Max output tokens | 65.536K tokens |
| Input modalities | text, image, audio, video |
| Output modalities | text |
| Latency (measured by OpenMark) | ~2.5s median response |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
Capabilities
FAQ
How much does Gemini 2.5 Pro cost?
Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10 per 1M output tokens ($0.125 per 1M cached input tokens).
What is Gemini 2.5 Pro's context window?
Gemini 2.5 Pro has a 1.04858M-token context window. Maximum output is 65.536K tokens.
Can I test Gemini 2.5 Pro on my own task?
Yes. OpenMark lets you benchmark Gemini 2.5 Pro against 100+ models on your own task with real API calls — no API keys needed, free tier available.
Is Gemini 2.5 Pro the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.