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MemT-1.0-Flash

MemT-1.0-Flash by MemTensor has no tracked price. It has no overseas route listed on this record. Last checked 2026-10-31.

MemTensor · mit · 288B

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unpriced · Last updated · Pricing source

MoE memory model on a DeepSeek-V4-Flash backbone. Model card: 288B total, 17B activated. HF safetensors count is 287.9B. config.json max_position_embeddings is 1048576; the card does not state a context window. Card license is MIT. Shanghai lab 记忆张量（上海）科技有限公司. release_date is the Hugging Face repo creation date. arXiv 2610.26825 was submitted 2026-10-19. No USD price.

How to use it from outside China

  1. Weights are public. Download them from Hugging Face. https://huggingface.co/MemTensor/MemT-1.0-Flash
  2. This record does not list an official international API, OpenRouter, or another overseas host.
  3. Confirm the price on the source before you rely on it. Checked 2026-10-31. Pricing source

Usable outside China?

No official international API listed.

Not listed on OpenRouter.

Questions

Can I use MemT-1.0-Flash from outside China?

Unknown — not on the record yet

How much does MemT-1.0-Flash cost per 1M tokens?

Unknown — not on the record yet

Is the MemT-1.0-Flash API OpenAI-compatible?

Unknown — not on the record yet

Are MemT-1.0-Flash weights open, and under which license?

Yes. License: mit.

Sources

https://huggingface.co/MemTensor/MemT-1.0-Flash

Weights: https://huggingface.co/MemTensor/MemT-1.0-Flash

A dash means we don’t know. This page does not fill gaps.

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