Google: Gemini 2.5 Pro Preview 06-05 vs OpenAI: GPT-4o
Side-by-side specs, pricing, and benchmarks. Pick a winner for your team's use case.
Use it in a Space
Spin up a Switchy Space with either model — your whole team @-mentions it with shared context, pooled credits, one memory.
Google: Gemini 2.5 Pro Preview 06-05OpenAI: GPT-4o
Input $/Mtok$1.25 · $2.50
Output $/Mtok$10.00 · $10.00
Google: Gemini 2.5 Pro Preview 06-05OpenAI: GPT-4o
Google: Gemini 2.5 Pro Preview 06-051049K tokens
OpenAI: GPT-4o128K tokens
Bars use square-root scaling so a 1M-token window doesn't crush a 200K one.
Google: Gemini 2.5 Pro Preview 06-05OpenAI: GPT-4o
2025-06-05
2024-05-13
2024-04-13today
Google: Gemini 2.5 Pro Preview 06-05
- Provider
- Context
- 1049k
- Input $/Mtok
- $1.25
- Output $/Mtok
- $10.00
- Max output
- 65536
- Modalities
- file, image, text, audio
OpenAI: GPT-4o
- Provider
- openai
- Context
- 128k
- Input $/Mtok
- $2.50
- Output $/Mtok
- $10.00
- Max output
- 16384
- Modalities
- text, image, file
Price delta
Google: Gemini 2.5 Pro Preview 06-05 is $1.25/Mtok cheaper than OpenAI: GPT-4o on input. Output: same price on both sides.
Which to pick
Pick **Gemini 2.5 Pro** for long-context work — its 1M-token window is roughly 8x GPT-4o's 128k, and the $1.25 in / $10 out per Mtok pricing makes large-input workloads dramatically cheaper. Use Pro for full-repo ingestion, long-document synthesis, and any task where the bottleneck is "fit it all in one prompt."
Pick **GPT-4o** for multimodal team chat — vision over screenshots and charts, document layout extraction, audio in/out, integrated voice. On short text-only conversational turns the quality gap is small; reach for GPT-4o when the workload genuinely needs OpenAI's mixed-media handling, and Gemini Pro when context length or input cost is the constraint.