LTM-2-mini
LTM-2-mini is a released coding and long context model with 100m context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating coding and long context
- Workloads that can use a 100m context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- LTM
- Released
- 2024-08-29
- Context
- 100m
- Architecture
- Decoder Only
- Specialization
- code
- Openness
- Proprietary
- License
- ProprietaryCommercial use with conditions
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
LTM-2-mini is Magic's research prototype supporting a 100 million token context window, announced August 29, 2024. Uses a novel sequence-dimension algorithm approximately 1,000× more memory-efficient than transformer attention at this scale — requiring only a fraction of a single H100's HBM versus 638 H100s for Llama 3.1 405B at the same context length. Not publicly released for API access or self-hosting; Magic stated they were separately training a full LTM-2 model. Specialization: coding/software development. Source: https://magic.dev/blog/100m-token-context-windows
LTM-2-mini is a proprietary model in the LTM family. The structured metadata tracks a 100m-token context window. No headline benchmark score is tracked for LTM-2-mini yet.
Top use-case fit: coding, agents, and build tasks
Coding
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
ltm-2-mini