Gemini 3 Flash vs Gemini 3 Pro
Direct comparison between google and google for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Gemini 3 Flash
- · Longer context window: Gemini 3 Pro at 2,000,000 tokens
- · Gemini 3 Flash: 1M token context at mini-tier pricing
- · Gemini 3 Pro: 2M token context — largest window among top-tier models
Spec comparison
| Spec | Gemini 3 Flash | Gemini 3 Pro |
|---|---|---|
| Provider | ||
| Input per 1M tokens | $0.50 / 1M | $1.25 / 1M |
| Output per 1M tokens | $3.00 / 1M | $5.00 / 1M |
| Context window | 1,000,000 tok | 2,000,000 tok |
| Max output | 65,536 tok | 65,536 tok |
| Knowledge cutoff | 2025-11 | 2025-11 |
| 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
Gemini 3 Pro — strengths
- +2M token context — largest window among top-tier models
- +True multimodal input: video, audio, image, text
- +Very strong on structured output and JSON-schema enforcement
Gemini 3 Flash — weaknesses
- −Code quality clearly below Sonnet 4.6 and GPT-5.4-mini
- −Complex reasoning chains fail sooner than on Pro
Gemini 3 Pro — weaknesses
- −Code generation slightly behind Claude Sonnet 4.6 and GPT-5.4
- −At very long contexts, latency becomes significant