Gemini 4 Argon vs GPT-5.6 Terra
Gemini 4 Argon (Google) vs GPT-5.6 Terra (OpenAI), 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 4 Argon | GPT-5.6 Terra |
|---|---|---|
| Provider | OpenAI | |
| Type | Text | Text |
| Context window | 1M | 1M |
| Max output | 64K | 128K |
| Input price | $2.00 / 1M | $2.00 / 1M |
| Output price | $10.00 / 1M | $12.00 / 1M |
| Speed | Medium | Medium |
| Arabic support | Strong | Strong |
Which should you choose?
- Google's first Gemini 4 model and its newest frontier model, built for long, multi-step work in coding, finance, legal and research. 1M-token context, reasoning, and text, image, video and audio input. From 1 December 2026: $4.00 in / $20.00 out per 1M tokens
- The balanced tier of OpenAI's GPT-5.6 generation. Same 1M-token context and image input, tuned for everyday production work
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 4 Argon and GPT-5.6 Terra?
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 4 Argon or GPT-5.6 Terra cheaper?
They are priced similarly ($2.00 / 1M vs $2.00 / 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 4 Argon and GPT-5.6 Terra 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.