Gemini 2.5 Pro API Pricing
Deprecated: Google deprecated Gemini 2.5 Pro on November 2, 2026. From December 1, 2026 every API request to gemini-2.5-pro is routed to Gemini 3.8 Flash and billed at Gemini 3.8 Flash rates. Until then it serves only accounts that have used it before. Google's stable Gemini 2.5 Pro tier for deep reasoning, coding, and large multimodal context: $1.25/M input, $10/M output, and $0.125/M cached input. Pulled directly from ai.google.dev.
Gemini 2.5 Pro API cost calculator.
Live calculator pre-loaded with current Gemini 2.5 Pro standard rates. Tier 1 applies to prompts up to 200K tokens; above 200K, Google lists $2.50/M input, $0.25/M cached input, and $15/M output.
Gemini 2.5 Pro cost on real workloads.
Coding agent iteration
Document pack analysis
Video + docs briefing
Research agent loop
Large RAG synthesis
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 3.1 Pro Preview | $2.00 cache $0.20 | $12.00 | $1.44 +31% | 1M | Google frontier preview |
| Gemini 3 Flash Preview | $0.50 cache $0.05 | $3.00 | $0.361 −3.1× | 1M | Cheaper Gemini 3 preview |
| Gemini 3.1 Flash-Lite | $0.25 cache $0.025 | $1.50 | $0.18 deprecated · −6.1× | 1M | High-volume Gemini 3.1 |
| Gemini 2.5 Pro Current | $1.25 cache $0.125 | $10.00 | $1.10 agentic 92/8 | 1M | Stable Gemini 2.5 Pro |
| Gemini 2.5 Flash | $0.30 cache $0.03 | $2.50 | $0.272 deprecated · −4.0× | 1M | Best price-performance Gemini 2.5 |
| Gemini 2.5 Flash-Lite | $0.10 cache $0.01 | $0.40 | $0.0561 legacy · −20× | 1M | Cheapest stable Gemini 2.5 |
| GPT-6.1 Sol | $2.00 cache $0.10 | $10.00 | $1.29 +17% | 1.05M | OpenAI's balanced model for coding and agents |
| GPT-6.1 Terra | $1.00 cache $0.05 | $5.00 | $0.645 −41% | 1.05M | OpenAI's fast, efficient GPT-6 tier |
Gemini 2.5 Pro has published scores on 2 benchmarks we track; its best placing is #71 of 105 on ARC-AGI-2. All of these scores come from independent leaderboards, not from the lab.
| Benchmark | Score | Rank | Leader | Source |
|---|---|---|---|---|
| ARC-AGI-2 Reasoning | 4.9% ARC Prize verified, best result | #71 of 105 | GPT-6 Astra · 95% | Official leaderboard ARC Prize Foundation |
| ARC-AGI-1 Reasoning | 41% ARC Prize verified, best result | #73 of 99 | 6 tied · 98.5% | Official leaderboard ARC Prize Foundation |
Gemini 2.5 Pro API pricing FAQ.
Practical Gemini 2.5 Pro pricing questions, with Google token rates separated from workload assumptions.
Q · 01 Can I still use Gemini 2.5 Pro? +
gemini-2.5-pro are routed automatically to Gemini 3.8 Flash and billed at Gemini 3.8 Flash rates. Google tells you to change the model string to gemini-3.8-flash before then and to review its migration guide, because function calling, thinking settings and some sampling parameters change.Q · 02 What is Gemini 2.5 Pro's standard API price? +
gemini-2.5-pro at $1.25/M input, $0.125/M cached input, and $10/M output for text, image, and video workloads. For prompts above 200K, the table lists $2.50/M input, $0.25/M cached input, and $15/M output. Google prints no separate audio rate for this model.Q · 03 Does output pricing include thinking tokens? +
Output price (including thinking tokens). This page treats generated reasoning and answer tokens as part of the published output rate.Q · 04 How much do Batch and Flex cost? +
Q · 05 Is this a preview model? +
Q · 06 What about Google Search grounding costs? +
Q · 07 How accurate is the tokenizer estimate? +
4.0 characters per token as a Gemini planning estimate. Exact billing can differ by language, media inputs, tool calls, and how Google tokenizes multimodal content.