DeepSeek V2 Lite Chat
DeepSeek V2 Lite Chat 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 32k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- DeepSeek V2
- Released
- 2024-05-16
- Context
- 32k
- Parameters
- 16B
- Architecture
- Mixture of Experts
- Specialization
- general
- Training
- finetuned
- Fine-tuning
- chat
Cheapest of 1 route · Fireworks AI
About
DeepSeek V2 Lite Chat is DeepSeek's DeepSeek V2 model. It offers a 32K-token context window with weights openly available for self-hosting.
DeepSeek V2 Lite Chat is an open-source model in the DeepSeek V2 family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for DeepSeek V2 Lite Chat yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.200 | $0.200 | Serverless |
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.