Capabilities
7-day heat trend
+3.3%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 48% of tracked models
- Efficiency rank: #138 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About yi-large-rag
01.AI Yi Large RAG reference row for retrieval-augmented supplier metadata.
yi-large-rag is a Text model from 01.AI / Yi (CN). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 200K-token context window, ~147 tokens/sec throughput and 99.4% availability. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
Compare yi-large-rag
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Frequently asked questions
How much does yi-large-rag cost per 1M tokens?+
yi-large-rag is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is yi-large-rag best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is yi-large-rag?+
yi-large-rag delivers about 147 tokens/sec with 99.4% tracked availability, suitable for latency-sensitive, real-time applications.
Is yi-large-rag cheaper than other AI models?+
Within the HotON.ai tracked set, yi-large-rag is cheaper than 43% of models on input price and ranks #138 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.