Loading...
Loading...
Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰MiniMax-M2.7-TurboQuant-MLX-4bit is 100% cheaper than Google: Gemma 2 9B
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
MiniMax-M2.7-TurboQuant-MLX-4bit is Infinity% cheaper
| Spec | Google: Gemma 2 9B | MiniMax-M2.7-TurboQuant-MLX-4bit |
|---|---|---|
| Provider | majentik | |
| Input price / 1M tokens | $0.03 | Free |
| Output price / 1M tokens | $0.09 | — |
| Context window | 8k tokens | — |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of...
Open-source MiniMax-M2.7-TurboQuant-MLX-4bit model from majentik — available for download and self-hosting on Hugging Face.
Want to swap in a different model or estimate monthly costs?