Gemini-3.6-Flash vs Llama-4-Maverick-17B-128E-Instruct-FP8: API Pricing Compared
Side-by-side API pricing and capabilities for Gemini-3.6-Flash and Llama-4-Maverick-17B-128E-Instruct-FP8. Both are available through Riven behind one OpenAI-compatible endpoint — at vendor list price with transparent per-token pricing, or a flat $3 per million tokens on pay-as-you-go.
| Gemini-3.6-Flash | Llama-4-Maverick-17B-128E-Instruct-FP8 | |
|---|---|---|
| Input price ($/1M tokens) | $1.50 | $0.25 |
| Output price ($/1M tokens) | $7.50 | $1.00 |
| Vendor | meta-llama | |
| Capabilities | chat, reasoning, vision, coding | chat |
Model pages: Gemini-3.6-Flash · Llama-4-Maverick-17B-128E-Instruct-FP8
FAQ
Which is cheaper, Gemini-3.6-Flash or Llama-4-Maverick-17B-128E-Instruct-FP8?
On Riven both are billed at vendor list price with transparent per-token pricing: Gemini-3.6-Flash is $1.50/1M input and $7.50/1M output; Llama-4-Maverick-17B-128E-Instruct-FP8 is $0.25/1M input and $1.00/1M output. On the pay-as-you-go plan, every model is a flat $3 per million tokens.
Can I use Gemini-3.6-Flash and Llama-4-Maverick-17B-128E-Instruct-FP8 with one API key?
Yes. One Riven key reaches both models through the same OpenAI-compatible endpoint, so you can A/B them by changing only the model id.
Is there a markup on these prices?
No. Riven lists these models at vendor list price with transparent per-token pricing. Pay-as-you-go users instead pay a flat $3 per million tokens across every model.