Gemini 2.5 Pro vs OpenAI o3
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Gemini 2.5 Pro
70.9Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
OpenAI o3
68.9OpenAI · Apr 2025
OpenAI's dedicated 2025 reasoning model that pioneered thinking-with-images and agentic tool use within chain-of-thought.
The verdict
OpenAI o3 wins 3 of the 5 benchmarks these models share, against 2 for Gemini 2.5 Pro. Gemini 2.5 Pro is about 1.0x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 200K for OpenAI o3.
Benchmark head-to-head 2–3
Specs & pricing
| Gemini 2.5 Pro | OpenAI o3 | |
|---|---|---|
| modhub Index | 70.9 | 68.9 |
| Input price / 1M | $1.25 | $2 |
| Output price / 1M | $10 | $8 |
| Context window | 1.0M | 200K |
| Max output | 66K | 100K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text, image |
| Knowledge cutoff | Jan 2025 | May 2024 |
| Released | Mar 2025 | Apr 2025 |
| Example monthly cost* | $27.50 | $32.00 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 2.5 Pro or OpenAI o3?
- OpenAI o3 wins 3 of the 5 benchmarks these models share, against 2 for Gemini 2.5 Pro. Gemini 2.5 Pro is about 1.0x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 200K for OpenAI o3.
- Which is cheaper, Gemini 2.5 Pro or OpenAI o3?
- Gemini 2.5 Pro costs $1.25/$10 per million input/output tokens, while OpenAI o3 costs $2/$8. For a typical workload of 10M input and 1.5M output tokens per month, that's $27.50 versus $32.00.
- Which model is better for coding, Gemini 2.5 Pro or OpenAI o3?
- On SWE-bench Verified — the standard agentic-coding benchmark — OpenAI o3 scores 69.1% versus 63.8% for Gemini 2.5 Pro, making OpenAI o3 the stronger pick for coding agents.