Gemini 2.5 Pro: token counter & pricing
Google · exact (uses official tokenizer) · pricing as of 2026-04-26.
- Provider
- API model ID
gemini-2.5-pro- Context window
- 2,000,000 tokens
- Input price
- $1.25 per 1M tokens
- Output price
- $10.00 per 1M tokens
- Tokenizer accuracy
- exact (uses official tokenizer)
- Pricing as of
- 2026-04-26
Open the counter to count tokens for Gemini 2.5 Pro in real time.
What is Gemini 2.5 Pro?
Gemini 2.5 Pro is Google's flagship multimodal model. Its standout feature is the 2-million-token context window — by far the largest in the frontier-model class.
How tokens are counted here
Gemini 2.5 Pro uses Google's official models.countTokens endpoint via our serverless proxy. Counts are exact.
When the 2M context window matters
Most prompts don't need it. The contexts where it does:
- Loading an entire codebase (or a substantial subset) into a single prompt for refactoring or audit.
- Long-document Q&A without chunking and retrieval.
- Multi-document synthesis where retrieval would lose cross-document relationships.
For everything else, Gemini 2.5 Flash is ~17× cheaper on input and matches Pro on most short-context tasks.
Pricing notes
Google publishes a single input rate for ≤200k context. Above 200k, the input rate increases — verify on Google's pricing page if you're regularly working with very long contexts; this calculator assumes the ≤200k tier.
Common questions
How does Gemini's tokenizer compare to GPT or Claude?
Gemini tends to produce slightly fewer tokens for the same English text than GPT-4o. The difference is small (single-digit percent) for typical text but can be larger for code or non-English content. The calculator above shows the actual count for your input.
Is the count_tokens endpoint free?
Yes — Google's countTokens endpoint is free to use, separate from generation costs. Our proxy adds caching so we don't burn quota on identical inputs.
How does Gemini 2.5 Pro compare to Claude Opus on price?
Pro: $1.25 input / $10 output per million. Opus: $15 input / $75 output. Gemini is ~12× cheaper on input, 7.5× cheaper on output — a major reason Gemini is winning long-context workloads. Opus still wins on certain reasoning benchmarks; choose by your task, not by the marketing.
Compare Gemini 2.5 Pro to other models
- Gemini 2.5 Flash (Google, $0.07/$0.30)
- Qwen 2.5 72B (Alibaba, $0.90/$0.90)
- Claude Haiku 4.5 (Anthropic, $0.80/$4.00)
- Qwen 2.5 Coder 32B (Alibaba, $0.80/$0.80)