VQV Signal

RESEARCH WATCH TECHNICAL

Kimi K3.1 Pro now available on NEAR AI Cloud at $2 and $10 per million tokens

According to a post on X by @near_ai, NEAR AI now serves Moonshot AI's Kimi K3.1 Pro model. Moonshot says the model improves on its predecessor in coding, 3D creation and financial research, and it has a 1M-token context window. Pricing is $2 per million input tokens and $10 per million output tokens. The post links to the model page on near.ai.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-27T21:40:00+00:00 Detected 2026-10-28T05:26:21+00:00
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According to a post on X by @near_ai, NEAR AI now serves Moonshot AI's Kimi K3.1 Pro model. Moonshot says the model improves on its predecessor in coding, 3D creation and financial research, and it has a 1M-token context window. Pricing is $2 per million input tokens and $10 per million output tokens. The post links to the model page on near.ai.

AI-assisted summary based on the listed source.

NEAR AI now serves Moonshot AI's Kimi K3.1 Pro, which Moonshot says improves on its predecessor in coding, 3D creation and financial research and has a 1M-token context window. Pricing is $2 per million input tokens and $10 per million output tokens. Also: https://near.ai/models/moonshotai/kimi-k3.1-pro <a...

Developers and businesses using NEAR AI Cloud can now access this model at the listed rates, which gives them a concrete price to compare with other hosted models. The performance claims in coding, 3D creation and financial research come from Moonshot, so users should test them on their own workloads before relying on them. Watch for independent evaluations and whether the pricing stays in place.

Signal Strength 78% Technical label WATCH Public Interest 40 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 74 Novelty Interest Score 70 Consequence Score 38 Curiosity Score 0 Shareability Score 54

VQV surfaced this signal because it is recent, relevant to AI Chips, connected to Scobleizer News Pulse (X).