MPT 7B
MPT 7B is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- MPT
- Released
- 2023-03-16
- Context
- 2k
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023
- Specialization
- general
- Training
- finetuned
Advancing AI research and model development.
Cheapest of 2 routes · Databricks Foundation Model Serving
About
MPT 7B is Databricks Mosaic's MPT model. Its knowledge cutoff is 2023.
MPT 7B is a model in the MPT family. The structured metadata tracks a 2k-token context window. This page tracks provider routes through Databricks Foundation Model Serving and Scale AI GenAI Platform, with the cheapest tracked route listed at $0.5 input and $0.5 output per 1M tokens. No headline benchmark score is tracked for MPT 7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Databricks Foundation Model Serving | $0.500 | $0.500 | Serverless |
| Scale AI GenAI Platform | - | - | ServerlessPartial |
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.