AI model comparison
Gemini 2.5 Pro vs o1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks.
Gemini 2.5 Pro is scheduled to be retired on October 20, 2026. Consider Gemini 3.1 Pro Preview instead.
- Input / 1M
- $1.25
- Output / 1M
- $10
- Context
- 1.05M
OpenAI
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding.
- Input / 1M
- $15
- Output / 1M
- $60
- Context
- 200K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Gemini 2.5 Pro
8.0x cheaper for a typical chat
Higher intelligence score
Gemini 2.5 Pro
16.1 vs 15.2 on Artificial Analysis
Larger context window
Gemini 2.5 Pro
1.05M vs 200K tokens
Newer release
Gemini 2.5 Pro
Released June 17, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 2.5 Pro16.1o115.2Coding index
Gemini 2.5 Pro33.3o139.7Agentic index
Gemini 2.5 Pro1.6o1Not availablePricing
Gemini 2.5 Pro vs o1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 2.5 Pro | o1 |
|---|---|---|
| Input tokensPer 1M tokens | $1.25 | $15 |
| Output tokensPer 1M tokens | $10 | $60 |
| Cached input (read)Per 1M tokens | $0.13 | $7.50 |
| Cache writePer 1M tokens | $0.38 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $2.50 in / $15 out above 200K | Same rate at any length |
| Web searchPer request | $0.014 | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemini 2.5 Pro$7.50o1$60Coding task
30K in, 4K out
Gemini 2.5 Pro$77.50$43.75 cachedo1$690$465 cachedLong document summary
150K in, 2K out
Gemini 2.5 Pro$207.50$38.75 cachedo1$2370$1245 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 2.5 Pro | o1 |
|---|---|---|
| Context window | 1.05M tokens | 200K tokens |
| Max output | 66K tokens | 100K tokens |
| Input types | Audio, File, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | June 17, 2025 | December 17, 2024 |
Features
Supported features
API features available for each model.
| Metric | Gemini 2.5 Pro | o1 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Gemini 2.5 ProView full model details- Gemini 2.5 Pro vs Gemini 3.1 Flash Lite
- Gemini 2.5 Pro vs Gemini 2.5 Flash
- Gemini 2.5 Pro vs Claude Haiku 4.5
- Gemini 2.5 Pro vs Claude Sonnet 4.5
- Gemini 2.5 Pro vs GPT-4.1
- Gemini 2.5 Pro vs Claude Sonnet 4
- Gemini 2.5 Pro vs o4 Mini
- Gemini 2.5 Pro vs Kimi K2 0905
- Gemini 2.5 Pro vs Mistral Medium 3.5
- Gemini 2.5 Pro vs Command A
- Gemini 2.5 Pro vs Sonar Reasoning Pro
Our take
Gemini 2.5 Pro is 8.0x cheaper for a typical chat. Gemini 2.5 Pro scores higher on the Artificial Analysis Intelligence Index (16.1 vs 15.2). Gemini 2.5 Pro has the larger context window (1.05M vs 200K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Gemini 2.5 Pro or o1 cheaper?
Gemini 2.5 Pro is cheaper for a typical chat (2K input tokens and 500 output tokens). Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10 per 1M output tokens, while o1 costs $15 per 1M input tokens and $60 per 1M output tokens.
Which has a bigger context window, Gemini 2.5 Pro or o1?
Gemini 2.5 Pro supports up to 1.05M tokens of context, compared with 200K for o1.
Is Gemini 2.5 Pro smarter than o1?
On the Artificial Analysis Intelligence Index, Gemini 2.5 Pro scores 16.1 and o1 scores 15.2, putting Gemini 2.5 Pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemini 2.5 Pro and o1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 2.5 Pro and o1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 2.5 Pro and o1 at the same time. Compare the answers side by side and keep the best one.