Gemini 3 Pro vs GPT 5.4 Mini
Direct comparison between google and openai for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: GPT 5.4 Mini
- · Longer context window: Gemini 3 Pro at 2,000,000 tokens
- · Gemini 3 Pro: 2M token context — largest window among top-tier models
- · GPT 5.4 Mini: Fraction of GPT-5.4 cost with very similar tool-use quality
Spec comparison
| Spec | Gemini 3 Pro | GPT 5.4 Mini |
|---|---|---|
| Provider | openai | |
| Input per 1M tokens | $1.25 / 1M | $0.75 / 1M |
| Output per 1M tokens | $5.00 / 1M | $4.50 / 1M |
| Context window | 2,000,000 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 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
GPT 5.4 Mini — strengths
- +Fraction of GPT-5.4 cost with very similar tool-use quality
- +Low latency — good for realtime chat and inline completion
- +Same 400k context window as the full-size model
Gemini 3 Pro — weaknesses
- −Code generation slightly behind Claude Sonnet 4.6 and GPT-5.4
- −At very long contexts, latency becomes significant
GPT 5.4 Mini — weaknesses
- −No dedicated reasoning mode — complex math degrades
- −On very long tool-call chains, drift detection is weaker