Gemini 2.5 Pro
gemini-2.5-proGoogle's thinking model with 1M-token context. 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 price history
12 price records since 4/1/2026 · 10 changes
Gemini 2.5 Pro cost calculator
Overview
What is Gemini 2.5 Pro?
Gemini 2.5 Pro is a text & reasoning and vision and code & slms model from Google. Google's thinking model with 1M-token context. Its 1M context window and $1.25 input price make it a candidate for quality-focused production applications.
Benchmarks
Gemini 2.5 Pro benchmarks & speed
How Gemini 2.5 Pro 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 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 Tools
Tools available when using Gemini 2.5 Pro 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
Where to run it
Gemini 2.5 Pro API providers
7 providers serve Gemini 2.5 Pro. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| $1.25 | $10 | $0.13 | 1M | 97.16% | |
| $2.25 | $18 | $0.23 | 1M | 99.65% | |
| Google AI Studio | $0.63 | $5.00 | $0.06 | 1M | 99.84% |
| $1.25 | $10 | $0.13 | 1M | 85.82% | |
| Google AI Studio | $1.25 | $10 | $0.13 | 1M | 97.61% |
| $1.25 | $10 | $0.13 | 1M | 98.16% | |
| Google AI Studio | $2.25 | $18 | $0.23 | 1M | — |
- Input
- $1.25
- Output
- $10
- Cached
- $0.13
- Context
- 1M
- Uptime
- 97.16%
- Input
- $2.25
- Output
- $18
- Cached
- $0.23
- Context
- 1M
- Uptime
- 99.65%
- Input
- $0.63
- Output
- $5.00
- Cached
- $0.06
- Context
- 1M
- Uptime
- 99.84%
- Input
- $1.25
- Output
- $10
- Cached
- $0.13
- Context
- 1M
- Uptime
- 85.82%
- Input
- $1.25
- Output
- $10
- Cached
- $0.13
- Context
- 1M
- Uptime
- 97.61%
- Input
- $1.25
- Output
- $10
- Cached
- $0.13
- Context
- 1M
- Uptime
- 98.16%
- Input
- $2.25
- Output
- $18
- Cached
- $0.23
- Context
- 1M
- Uptime
- —
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Strengths and limitations
Strengths
- Measured results (AA Intelligence 16.1 · DesignArena Elo 1156 · Arena Elo 1255 · MMLU-Pro 82.8%) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision and code & slms 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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