Vani hosts Kimi K3.1 Pro with its refusal layer removed
The Moonshot model runs on Vani's own GPUs with 1 million tokens of context, priced at $5 input and $15 output per million tokens.
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33 stories, newest first · one card per story
Stories tagged #kimi
Artificial Analysis index revision drops Kimi K3.1 Pro five spots
Private tests now make up 60 percent of the index, and the open-to-closed gap rose from 3 to 12 points.
vLLM constrained decoding lifts Kimi tool-call schema accuracy to 100%
Serving Kimi K2.6 on vLLM 0.28 matched the expected schema only 92% of the time, the authors report.
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Podcast weighs mixed reaction to Kimi K3.1 Pro benchmarks
Hosts say weights are due by November 4 after about two weeks of exclusive access, with quality impressions still mixed.
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Vani adds Kimi K3.1 Pro Soft-Derisked to chat and API
API pricing is $5 per million input tokens and $7 for output, with an 18-plus confirmation in chat.
Kimi K3.1 Pro is available on Vani Chat and API
Moonshot says unsupported claims fell from 23.35% to 6.85%, with open weights planned for early November.
Moonshot launches Kimi K3.1 Pro; weights promised November 4
The 2.8T mixture-of-experts model, with 104B active parameters, scored 55 on Artificial Analysis; the API is live but weights are not.
Moonshot AI releases open-weight Kimi K3.1 Pro
The title lists 2.8T total parameters, 104B active parameters, and a 1 million-token context.
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Moonshot puts Kimi K3.1 Pro on the Kimi API
Weights stay closed until a promised November 4 release; a faster tier costs twice as much.
Moonshot releases Kimi K3.1 Pro, fourth on AA index
A planned November 4 weights release would, Moonshot says, make it the top open model, 3 points behind Claude Opus 5.5.
Kimi K3.1 scores 55 on Artificial Analysis Intelligence Index
The listing puts Kimi K3.1 on the cost-performance Pareto line and says no public API is available.
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Kimi introduces K3.1 Pro, a 3T model with 1M context
The model and a faster Highspeed variant are live in Kimi products now; full weights are promised by November 4.
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Criminals used Claude, Grok and Kimi against Latin American finance targets
Straiker says more than 400 organizations were targeted, not that each one was breached.
Z.ai GLM-Legal Beats Claude Fable 5 and Kimi K3 on Harvey LAB
Z.ai’s GLM-Legal reportedly beat Claude Fable 5 and Kimi K3 on Harvey LAB.
Goodfire says its new ‘inside-out’ monitors catch rogue AI agents at a fraction of the cost
Goodfire launched low-cost internal monitors on Baseten to catch rogue AI agent behavior.
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Training Advisors for LLM Agents from Task Outcomes
Caddie trains an outcome-based critic that lifts LLM agent success, including a 25-point gain for Qwen3-4B.
Chinese AI models parrot state doctrine or refuse to answer on sensitive topics
Aleph Alpha found Chinese models often repeat state doctrine or refuse questions on Tiananmen, Taiwan, and Xinjiang.
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OpenAI Blocks 15,000 Requests Trying to Extract Protected Model Reasoning
OpenAI blocked over 15,000 accounts trying to extract protected model reasoning, linking much of the activity to Moonshot AI.
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OpenAI Blocks 15,000-User Campaign Trying to Extract Hidden AI Reasoning
OpenAI stopped a 15,000-user campaign, partly tied to Moonshot AI, extracting hidden reasoning.
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OpenAI says it stopped a campaign to steal its models' reasoning, but the trick still worked on Azure
OpenAI blocked a large campaign to steal model reasoning, but researchers say Azure still leaked it.
OpenAI reveals ‘novel’ encryption bypass used in distillation attack
OpenAI disrupted a Moonshot AI-linked distillation campaign that tricked its models into decrypting protected reasoning data using up to 15,000 accounts.
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Irony alert: OpenAI whines that Chinese model stole its special IP that it stole from everybody else
OpenAI says it disrupted a July distillation campaign tied to Moonshot AI that copied protected model reasoning.
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Disrupting a coordinated model-distillation campaign
OpenAI disrupted a July campaign extracting protected model reasoning, linking a core cluster to Moonshot AI.
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ID Balancing: Stable Training of Extremely Sparse MoE via PID-Based Load Control
ID Balancing uses an integral-derivative controller to stabilize extremely sparse MoE expert load during training.