Gemini 2.5 Pro
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
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Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
OpenAI | 400K | 128K | 2024-09 | $1.25 | $0.125 | $10.00 | 86 | Slow | $0.0435 | |
OpenAI | 128K | 16K | 2024-09 | $1.25 | $0.125 | $10.00 | 86 | Standard | $0.0435 | |
OpenAI | 128K | 16K | 2024-09 | $1.25 | $0.125 | $10.00 | 86 | Standard | $0.0435 | |
OpenAI | 400K | 128K | 2024-09 | $1.25 | $0.125 | $10.00 | 84.5 | Standard | $0.0435 | |
OpenAI | 400K | 128K | 2024-09 | $1.25 | $0.125 | $10.00 | 84.25 | Standard | $0.0435 |
Provider
Benchmark
86Speed
Slow
Training Cutoff
2024-09
Context Window
400K
Max Output
128K
Input / 1M
$1.25
Cache Price / 1M
$0.125
Output / 1M
$10.00
Provider
Benchmark
86Speed
Standard
Training Cutoff
2024-09
Context Window
128K
Max Output
16K
Input / 1M
$1.25
Cache Price / 1M
$0.125
Output / 1M
$10.00
Provider
Benchmark
86Speed
Standard
Training Cutoff
2024-09
Context Window
128K
Max Output
16K
Input / 1M
$1.25
Cache Price / 1M
$0.125
Output / 1M
$10.00
Provider
Benchmark
84.5Speed
Standard
Training Cutoff
2024-09
Context Window
400K
Max Output
128K
Input / 1M
$1.25
Cache Price / 1M
$0.125
Output / 1M
$10.00
Provider
Benchmark
84.25Speed
Standard
Training Cutoff
2024-09
Context Window
400K
Max Output
128K
Input / 1M
$1.25
Cache Price / 1M
$0.125
Output / 1M
$10.00
All AI Models Pricing & Cost Simulator
Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.
Gemini 2.5 Pro Frequently Asked Questions (FAQ)
Key insights into Gemini 2.5 Pro API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for Gemini 2.5 Pro? How much does it cost per 1M tokens?＋
Gemini 2.5 Pro (Google) is priced at $1.2500 per 1 million input tokens and $10.0000 per 1 million output tokens. The output rate is approximately 8.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. What are the context window and maximum output limits of Gemini 2.5 Pro?＋
Gemini 2.5 Pro features a 1M context window and a maximum output limit of 65K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.
Q. Does Gemini 2.5 Pro support Prompt Caching, and how much cost can be saved?＋
Yes, Gemini 2.5 Pro supports prompt caching. Cached reads cost $0.1250 per 1M tokens, delivering an estimated 90% discount compared to standard input rates. (Minimum cache threshold: 4K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (85.75) and performance profile of Gemini 2.5 Pro?＋
Gemini 2.5 Pro achieves an overall benchmark score of 85.75/100 with a "Standard" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.
Q. Which alternative models are comparable to Gemini 2.5 Pro?＋
Key alternatives in similar price-to-performance tiers include GPT-5.1-Codex-Max, GPT-5 Chat, GPT-5.1 Chat. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.