441e85161News eventClaimMoonshot AI released Kimi K3.1 Pro, a 3-trillion-parameter model trained to restrict its use in cyberattacksAgreeDisagree
441e85161ClaimMoonshot AI releases Kimi K3.1 Pro and says it cut the model's hacking skills before open releaseAgreeDisagree
441e85161ClaimMoonshot AI reported Kimi K3.1 Pro scored 65.7% on the Terminal-Bench 4.0 coding benchmark, against 66.4% for Anthropic's Claude Opus 5.5 and 58.2% for OpenAI's GPT-6 AstraAgreeDisagree
441e85161ClaimMoonshot AI promised to release the full Kimi K3.1 Pro model weights by November 4, 2026AgreeDisagree
441e85161ClaimMoonshot AI launched Kimi K3.1 Pro Highspeed alongside Kimi K3.1 Pro, running two to three times fasterAgreeDisagree
441e85161ClaimMoonshot AI said it removed cyberattack-related data from Kimi K3.1 Pro's training before the model's open releaseAgreeDisagree
441e85161ClaimMoonshot AI released Kimi K3.1 Pro on October 23, 2026 through its Kimi apps and APIAgreeDisagree
441e85161ClaimKimi K3.1 Pro still scored far above Kimi K3's 33.3% on Moonshot AI's xdev-bench-hard exploit test despite the cyber-data removalAgreeDisagree
441e85161ClaimKimi K3.1 Pro solved 81% of Moonshot AI's internal xdev-bench-hard exploit tasks, against 90.5% for a version trained without the cyber-data removalAgreeDisagree
441e85161ClaimMoonshot AI said Kimi K3.1 Pro's cyber capability remains behind frontier proprietary models that have been public for at least three monthsAgreeDisagree
441e85161ClaimAt launch in October 2026, Kimi K3.1 Pro was priced at $2 per million input tokens and $10 per million output tokens on Moonshot AI's APIAgreeDisagree
441e85161ClaimKimi K3.1 Pro scored 55 on the Artificial Analysis Intelligence Index in October 2026AgreeDisagree
441e85161ClaimMoonshot AI called Kimi K3.1 Pro its most capable 3T-class open-weight model, with a 1-million-token context windowAgreeDisagree
441e85161ClaimIn Moonshot AI's hallucination stress test, Kimi K3.1 Pro made false claims in 8.3% of cases, down from 23.4% for Kimi K3AgreeDisagree
441e85161ClaimOpen-weight models cannot be considered safe because their safeguards can be easily removedAgreeDisagree