Model pricing
Yi-Large pricing
Yi-Large by 01.AI costs $3 per 1M input tokens and $3 per 1M output tokens (cached input not recorded, batch input not recorded) as of 2026-06-10. A 1,000-input/500-output request costs $0.0045. The lowest-cost alternative with at least this context window and the same recorded reasoning category is lfm-2.2-6b at $0.01/$0.02; capability equivalence is not guaranteed.
Notes
Bilingual EN/ZH reasoning model
Key pricing facts
| Fact | Value |
|---|---|
| Input / 1M tokens | $3 |
| Output / 1M tokens | $3 |
| Cached input / 1M | Not recorded |
| Batch input / output / 1M | Not recorded |
| Context window | 32,768 |
| Provider | 01.AI |
| Last verified | 2026-06-10 |
| Snapshot updated | 2026-06-10 |
Last updated: · Source: No official provider pricing URL recorded · Methodology
Frequently asked questions
What does Yi-Large cost per million tokens?
Input costs $3 and output costs $3 per million tokens. The 1,000-input/500-output example costs $0.0045, before discounts, taxes, hidden reasoning tokens or context-tier surcharges.
Does Yi-Large have cached or batch pricing?
Cached input: not separately recorded. Batch: not recorded in this dataset. Eligibility and cache-write charges depend on the provider; these discounts are not automatically stacked.
What is a cheaper alternative to Yi-Large?
lfm-2.2-6b costs $0.01 input and $0.02 output per million tokens. This comparison matches context capacity and reasoning category, not benchmark quality. Test your workload before replacing a model.
How often are these prices verified?
The live pricing table synchronizes stored model records daily; public file snapshots update when the site is rebuilt. Synchronization is not independent provider verification. Snapshot updated 2026-06-10. The recorded model verification date is 2026-06-10.