Gemini 3.6 Flash vs Gemini 3.7 Flash
Gemini 3.6 Flash (Google) vs Gemini 3.7 Flash (Google), compared on price, context, speed and Arabic support. Both run on thalam through one OpenAI-compatible API, so you can switch between them with a single model id change.
Specs side by side
| Spec | Gemini 3.6 Flash | Gemini 3.7 Flash |
|---|---|---|
| Provider | ||
| Type | Text | Text |
| Context window | 1M | 1M |
| Max output | 64K | 64K |
| Input price | $1.50 / 1M | $1.50 / 1M |
| Output price | $7.50 / 1M | $7.50 / 1M |
| Speed | Fast | Fast |
| Arabic support | Strong | Strong |
Which should you choose?
- Google's newest fast Gemini. Near-frontier quality for agents and coding at high speed, now more token-efficient with a lower output price than 3.5, plus a very long 1M-token context
- Google's newest fast Gemini, built for coding and agents. Sharp gains over 3.6 on real engineering tasks, the fastest output speed of any model measured, and a 1M-token context
One OpenAI-compatible endpoint, one bill. Switch between them with a single model id change, pay per use, credits never expire.
Related comparisons
FAQ
What's the difference between Gemini 3.6 Flash and Gemini 3.7 Flash?
They are closely matched on the headline specs; the best choice depends on your workload. Both are available on thalam behind one OpenAI-compatible API.
Is Gemini 3.6 Flash or Gemini 3.7 Flash cheaper?
They are priced similarly ($1.50 / 1M vs $1.50 / 1M). On thalam you pay per use with no subscription, so you can A/B them on cost with no commitment.
Can I use both Gemini 3.6 Flash and Gemini 3.7 Flash with one API key?
Yes. thalam is OpenAI-compatible, so both models are reachable through the same endpoint. Switching between them is a one-line model id change, no code rewrite.