Why moderate: near-exact agreement (49 of 50 strings) with moonshotai/kimi-k3, short of a full exact signature.
MoonshotAI: Kimi K2 0905 is Moonshot AI's model, and its measured tokenizer sits in Moonshot AI's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counted cleanly, and no other model in the catalogue counts the same way | tk_f14a0fdd |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_87b94582 |
| How much it can read and write | Reads up to 262,144 tokens at once, writes up to 98,304 | its own listing |
| Who served our requests | Novita | we measured it, 3 September 2026 |
Click a row to open the full comparison.
We sent MoonshotAI: Kimi K2 0905 fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 9 prompt tokens.
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...
Supported parameters
frequency_penaltymax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
defaults: {}
