Gemini 2.5 Flash 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.
Gemini 2.5 FlashOpenAI: GPT-4o
Input $/Mtok$0.15 · $2.50
Output $/Mtok$0.60 · $10.00
Gemini 2.5 FlashOpenAI: GPT-4o
Gemini 2.5 Flash1049K tokens
OpenAI: GPT-4o128K tokens
Bars use square-root scaling so a 1M-token window doesn't crush a 200K one.
Gemini 2.5 FlashOpenAI: GPT-4o
2024-05-13
2024-04-13today
Gemini 2.5 Flash
- Provider
- Context
- 1049k
- Input $/Mtok
- $0.15
- Output $/Mtok
- $0.60
- Max output
- 65536
- Modalities
- text, image, video, 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
Gemini 2.5 Flash is $2.35/Mtok cheaper than OpenAI: GPT-4o on input. Output: Gemini 2.5 Flash is $9.40/Mtok cheaper than OpenAI: GPT-4o.
Which to pick
Pick **Gemini 2.5 Flash** when cost and context are the dominant constraints. At $0.15 in / $0.60 out per Mtok with a 1M-token window, it is roughly 17x cheaper on input than GPT-4o ($2.50) and 8x larger on context — built for high-volume bulk work, batch processing, and very long single-turn ingestion.
Pick **GPT-4o** when you need its multimodal range — audio in/out, integrated voice, and richer vision handling for charts, photos, and document layouts. GPT-4o's reasoning quality on short turns is also a notch above Flash on most general-purpose evals; if the workload is conversational and mixed-media rather than bulk text, the price gap stops mattering.