ModelRefs / Gemini 2.0 Flash vs GPT-4o
Gemini 2.0 Flash vs GPT-4o
Gemini 2.0 Flash vs GPT-4o: side-by-side benchmarks, pricing, context windows, coding ability and deployment. Pick the right model for your stack.
Overview
Gemini 2.0 Flash: Gemini 2.0 Flash is Google's multimodal workhorse, accepting text, image, audio and video input across a 1,048,576-token context window with an 8,192-token output limit and an August 2024 knowledge cutoff. Google's deprecations page gives it a shutdown date of 1 June 2026 and names gemini-3.6-flash as the replacement, and the Gemini API models page now lists it among previous models as shut down; it is retained here as a historical reference.
GPT-4o: GPT-4o is OpenAI's May 2024 multimodal flagship, accepting text and image input across a 128,000-token context window with a 16,384-token maximum output and an October 2023 knowledge cutoff. OpenAI describes it as its most capable model outside the o-series reasoning line, and serves it through dated snapshots with gpt-4o-2024-08-06 as the default. The family is now deprecated on two schedules: gpt-4o-2024-08-06 and gpt-4o-2024-11-20 shut down on 14 January 2027 with gpt-6-luna as the replacement, and the original gpt-4o-2024-05-13 snapshot on 23 October 2026 with gpt-5.6-sol.
Context window: Gemini 2.0 Flash accepts up to 1,000,000 tokens, GPT-4o up to 128,000. Confirm the limit for your specific deployment channel before relying on it.
Gemini 2.0 Flash vs GPT-4o at a glance
| Attribute | Gemini 2.0 Flash | GPT-4o |
|---|---|---|
| Provider | OpenAI | |
| Released | 2025-02-05 | 2024-05-13 |
| Context window | 1,000,000 tokens | 128,000 tokens |
| Input price | $0.1/M tokens | $2.5/M tokens |
| Output price | $0.4/M tokens | $10/M tokens |
| Licence | Proprietary | Proprietary |
| Self-hostable | No, hosted only | No, hosted only |
| Modalities | text, vision, audio | text, vision, audio |
Where they differ most
- Cost Efficiency: Gemini 2.0 Flash 93%, GPT-4o 46%. Gemini 2.0 Flash leads on this dimension.
- Reasoning: Gemini 2.0 Flash 75%, GPT-4o 61%. Gemini 2.0 Flash leads on this dimension.
Capability scores are ModelRefs' own derived signals, not vendor claims or benchmark results. Validate against your own workload before relying on them.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Gemini 2.0 Flash vs GPT-4o.
Frequently asked questions
Which is better, Gemini 2.0 Flash or GPT-4o?
Gemini 2.0 Flash and GPT-4o target different workloads — see the benchmark and pricing tables for a side-by-side answer.
Is Gemini 2.0 Flash cheaper than GPT-4o?
Compare $0.00010 vs $0.00250 on this page.