Gemini 3 Flash vs GPT 5.4
Direct comparison between google and openai for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Gemini 3 Flash
- · Longer context window: Gemini 3 Flash at 1,000,000 tokens
- · Gemini 3 Flash: 1M token context at mini-tier pricing
- · GPT 5.4: Better tool-use accuracy than GPT-5.3 with shorter outputs
Spec comparison
| Spec | Gemini 3 Flash | GPT 5.4 |
|---|---|---|
| Provider | openai | |
| Input per 1M tokens | $0.50 / 1M | $2.50 / 1M |
| Output per 1M tokens | $3.00 / 1M | $15.00 / 1M |
| Context window | 1,000,000 tok | 400,000 tok |
| Max output | 65,536 tok | 16,384 tok |
| Knowledge cutoff | 2025-11 | 2026-01 |
| Vision | ||
| Audio | ||
| Tool calling | ||
| JSON mode | ||
| Structured output | ||
| Reasoning |
Gemini 3 Flash — strengths
- +1M token context at mini-tier pricing
- +Very low latency, ideal for realtime
- +Multimodal: image, audio, and video input
GPT 5.4 — strengths
- +Better tool-use accuracy than GPT-5.3 with shorter outputs
- +Native vision for screenshots, charts, and documents
- +400k context — fits code repos and long conversations
Gemini 3 Flash — weaknesses
- −Code quality clearly below Sonnet 4.6 and GPT-5.4-mini
- −Complex reasoning chains fail sooner than on Pro
GPT 5.4 — weaknesses
- −Pricier per token than Sonnet 4.6 at comparable coding quality
- −Reasoning mode noticeably increases latency over standard calls