Gemini 2.5 Pro
Google · released Jun 17, 2025
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...
Specification
- Context window
- 1.05M
- Max output
- 66K
- Knowledge cutoff
- Jan 31, 2025
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 2
- Moderated
- No
- Uptime
- 98.2%
Intelligence
25.9
69th percentile
Coding
33.3
Coding Index
Agentic
7.2
Agentic Index
Output speed
106 t/s
Median across providers
Latency
2.32s
Time to first token
Cost per task
$0.86
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- AIME 202587.7%
- MMLU-Pro86.2%
- GPQA Diamond84.4%
- LiveCodeBench80.1%
- AA-LCR (long context)66.0%
- τ²-bench (Telecom)54.1%
- IFBench48.7%
- SciCode42.8%
- Terminal-Bench Hard26.5%
- Humanity's Last Exam22.5%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| AIME 2025 | 87.7% |
| MMLU-Pro | 86.2% |
| GPQA Diamond | 84.4% |
| LiveCodeBench | 80.1% |
| AA-LCR (long context) | 66.0% |
| τ²-bench (Telecom) | 54.1% |
| IFBench | 48.7% |
| SciCode | 42.8% |
| Terminal-Bench Hard | 26.5% |
| Humanity's Last Exam | 22.5% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- o4 Mini HighOpenAI26.1
- o4 MiniOpenAI26.1
- Claude Opus 4Anthropic26.0
- Claude Sonnet 4Anthropic26.0
- Gemini 2.5 ProGoogle25.9
- GPT-5 MiniOpenAI25.8
- Gemini 3.1 Flash LiteGoogle25.6
- 25.6
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| o4 Mini High | 26.1 |
| o4 Mini | 26.1 |
| Claude Opus 4 | 26.0 |
| Claude Sonnet 4 | 26.0 |
| Gemini 2.5 Pro | 25.9 |
| GPT-5 Mini | 25.8 |
| Gemini 3.1 Flash Lite | 25.6 |
| Gemini 3.1 Flash Lite Preview | 25.6 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $1.25
- Output / 1M tokens
- $10
- Cached input / 1M
- $0.125
- Blended 3:1
- $3.44
One task, estimated
$0.86
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.
Arena
Head-to-head generation quality
Elo from pairwise judgements, broken out by the kind of thing the model was asked to build.
- Overall Elo
- 1,273
- Win rate
- 71.8%
- Strongest at
- Data visualisation
- Tournaments
- 156
Elo by category
Dot position on a 1,125–1,275 scale · Elo has no meaningful zero
- 1,273
- 1,190
- 1,176
- 1,151
- 1,137
Agent categories (full-stack apps, mobile apps) are only scored for models tested in agent harnesses.
View as table
| Category | Elo | Win rate |
|---|---|---|
| Data visualisation | 1273 | 71.8% |
| Websites | 1190 | 58.9% |
| UI components | 1176 | 60.1% |
| Game development | 1151 | 54.9% |
| 3D scenes | 1137 | 52.1% |