MemT-1.0-Flash
MemT-1.0-Flash is available now for general LLM work with open-source; evaluate it while provider pricing coverage matures.
No tracked provider pricing is available yet.
About
MemT-1.0-Flash is MemTensor's larger memory-native language model, built on DeepSeek-V4-Flash with 288B total and 17B activated parameters. A native memory block runs alongside the backbone's attention and folds past turns into a fixed-size memory state (3.61B trainable memory parameters, 336M dynamic state) that can be saved and restored, so later turns and agent tasks reuse history and past experience without reloading the original text. Across 11 memory benchmarks MemTensor ranks it first among the evaluated parametric-memory methods. Open weights under the MIT License.
Providers
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Capabilities
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Benchmark peer barsfor Coding
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Migration checks
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API versions
MemTensor/MemT-1.0-FlashMemT 1.0 FlashNo tracked provider pricing is available yet.