AI - Paski.devKimi K2.5
Moonshot AI llmNatively multimodal agentic model continually pretrained on roughly 15T mixed visual-text tokens, with an Agent Swarm mode that orchestrates up to 100 sub-agents per prompt.
overall ⌄
58.8
24 of 93 ranked
price · $/M tokens
0.6 / 3
in / out, as of 2026-07-25
to run it yourself ⌄
600 GB
minimum · 2.4 TB recommended
Benchmarks
What its maker published, and what anyone else measured. Every figure links the document it came from.
Cheaper, and at least as good
On a 1,000-in, 1,000-out call these cost less and rank no lower — a hard comparison to argue with, and a narrow one. Value covers what it misses.
| DeepSeek V4-Flash DeepSeek | $0.00042 | overall 59.3 |
| DeepSeek V4-Pro DeepSeek | $0.00130 | overall 68.3 |
| MiniMax M3 MiniMax | $0.00150 | overall 65.1 |
Lineage
↑ finetune Kimi K2
Metadata
| org | Moonshot AI |
| released | 2026-01-27 |
| params | 1T-A32B |
| license | modified-mit |
| hf id | moonshotai/Kimi-K2.5 |