Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy... Built by Google.
Prices updated
Input price
$1.25
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
66K
tokens
Input formats
Output formats
Gemini 2.5 Pro Preview 06-05 price history
2 price records since 9/25/2026
Gemini 2.5 Pro Preview 06-05 cost calculator
$75/month
Standard pricing
Overview
What is Gemini 2.5 Pro Preview 06-05?
Gemini 2.5 Pro Preview 06-05 is a text & reasoning and vision model from Google. Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy... Its 1M context window and $1.25 input price make it a candidate for quality-focused production applications.
Benchmarks
Gemini 2.5 Pro Preview 06-05 benchmarks & speed
How Gemini 2.5 Pro Preview 06-05 scores on standardized evaluations, and where it lands among every model we track.
16.1
Intelligence Index
128tok/s
Output speed
1156
DesignArena Elo
Reasoning
GPQA Diamond
84.4%
Graduate-level scientific reasoning · top 44%
HLE
22.5%
Humanity's Last Exam · top 49%
Coding
SciCode
46.3%
Python for scientific computing · top 65%
Latency & design
- Time to first token
- 18.08s
- DesignArena win rate
- 57.5%
- Design battles judged
- 7,220
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemini 2.5 Pro Preview 06-05 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.25
Per 1M tokens
Cached input · Standard
$0.13
Per 1M tokens
Capabilities
Gemini 2.5 Pro Preview 06-05 Tools
Tools available when using Gemini 2.5 Pro Preview 06-05 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 16.1 · DesignArena Elo 1156) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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