Side-by-side comparison of Kimi K2 Instruct (Moonshot AI · China) and Talkie-1930-13B-IT (Talkie-LM (research)) for self-hosted deployment of the open-weight model. Kimi K2 Instruct is rated conditional; Talkie-1930-13B-IT is conditional. They part ways on licence: Kimi K2 Instruct is "Modified MIT", Talkie-1930-13B-IT is "Apache 2.0".
| Field | ||
|---|---|---|
| Summary | ||
| Verdict | Conditional 1T-parameter MoE (32B active) tuned for agentic and tool-use workflows. Modified MIT permits commercial use. Same Chinese-origin alignment and supply-chain considerations as DeepSeek and Qwen. | Conditional Per the published model card, Talkie-1930-13B-IT is an Apache 2.0 instruction-tuned 13B model trained exclusively on pre-1931 English text (260B tokens, sourced from public-domain reference works). The training-data transparency is unusually clean for AI Act Article 53 purposes; the limits are vendor jurisdiction (a US-affiliated research collaboration with no published EU DPA) and the deliberate vintage corpus, which makes the model unsuitable for any task requiring post-1931 factual knowledge. |
| Last reviewed | 2026-04-16 | 2026-04-28 |
| Open-weight | ||
| Licence | Modified MIT | Apache 2.0 |
| Commercial use | Yes | Unrestricted |
| Training data | Undisclosed | Documented |
| Origin | China | US (research) |
| Performance & pricing? | ||
| Quality index | 26/100 | — |
| Speed | 34 tok/s | — |
| Blended price | $1.04/M | — |
| Context window | — | — |
| Evidence | ||
| Sources | ||
No overlapping sources between the two entries.