$ diff gemini-3-5-flash-lite gpt-5-6-sol
Gemini 3.5 Flash-Lite vs GPT-5.6 Sol
Google DeepMind and OpenAI, side by side. Every value below is the one recorded on the model’s own wiki page, with its citation — nothing is estimated.
Google DeepMindGemini 3.5 Flash-Lite
- context
- 1.0M
- weights
- closed
- $/M in
- $0.3
- $/M out
- $2.5
- context
- 1.1M
- weights
- closed
- $/M in
- $5
- $/M out
- $30
What actually differs
- Context window
- GPT-5.6 Sol takes 1.1M against 1.0M — modestly more room in a single request.
- Input price
- Gemini 3.5 Flash-Lite at $0.3/M against $5/M — 16.7× cheaper to feed.
- Output price
- Gemini 3.5 Flash-Lite at $2.5/M against $30/M — 12.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
- Recency
- Gemini 3.5 Flash-Lite shipped 12 days after GPT-5.6 Sol (2026-07-21 vs 2026-07-09).
Full spec
| Attribute | Gemini 3.5 Flash-Lite | GPT-5.6 Sol |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Released | 2026-07-21 | 2026-07-09 |
| Context window | 1,048,576 tokens (1M) | 1.05M tokens |
| Pricing | $0.30/M input · $2.50/M output | $5/M input · $30/M output (Sol; family tiers below) |
| License | proprietary | proprietary (API-only; no weight release) |
| Availability | Gemini API, Google AI Studio, Vertex AI | ChatGPT (subscription), API |
Values come from Gemini 3.5 Flash-Lite and GPT-5.6 Sol, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing. How these pages are produced.