Yi 9B 200K
Yi 9B 200K has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating long context
- Workloads that can use a 200k 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
- Yi (2023/11)
- Released
- 2023-11-02
- Context
- 200k
- Parameters
- 9B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-06
- Specialization
- general
- Training
- finetuned
About
The Yi 9B 200K model by 01.AI is a bilingual AI model designed for English and Chinese language tasks, inspired by the Llama architecture but independently trained. It utilizes a vast 3 terabyte multilingual corpus and supports a generous context window of 200,000 tokens. This model excels in language understanding, commonsense reasoning, coding, and mathematical tasks, boasting robust performance in these areas. Though as a base model, it has limitations in instruction adherence and may encounter issues like hallucinations and inconsistent outputs, particularly in complex reasoning. Performance enhancements can be achieved by fine-tuning parameters such as temperature, top_p, and top_k 124.
Yi 9B 200K is a model in the Yi (2023/11) family. The structured metadata tracks a 200k-token context window. No headline benchmark score is tracked for Yi 9B 200K yet.
Top use-case fit
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 Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.