Thinking Machines releases Inkling 2 Small, a proprietary model with open weights promised

Thinking Machines introduced Inkling 2 Small, saying it scores 31 on the Artificial Analysis Intelligence Index, a big jump over Inkling Small. It is available for fine-tuning and inference on Tinker, its platform, and in Tinker Playground today. Thinking Machines says the full weights are planned soon; for now the model is proprietary.

Artificial Analysis, which ran its own evaluation, reports:

• Model: a 594B-parameter mixture of experts with 17B active, reasoning, taking text and image input and giving text output. It lists a planned Apache 2.0 weights release with no confirmed date.
• Price: $0.30 per 1M input tokens, $1.00 per 1M output tokens and $0.03 per 1M cached input tokens.
• Index: 31, up 18 points from Inkling Small, level with Gemini 3.8 Flash (high) and above MiMo-V2.6-Pro. If the weights ship, it says this would be the highest-scoring open-weights model developed outside China on current rankings.
• Agentic and coding: AutomationBench-AA rises from 5% to 46% and FrontierCode 2.0 from 5% to 25%, against 11% for Claude Sonnet 5.5 (medium); on Terminal-Bench 4.0 it scores 13% against 30% for Sonnet 5.5.
• Other results: HLE-Diamond 29% (from 12%); CritPt v2 56%, behind Gemini 3.8 Flash (high) at 65%; hallucination rate on AA-Omniscience v1.1 falls from 61% to 27%, mainly because the model attempts fewer questions (53% against 77%).
• Cost: about 150K output tokens per Index task, roughly 4x Inkling Small, which makes a task cost $1.18, almost 6x Inkling Small, against $7.77 for Gemini 3.8 Flash (high) and $10.02 for Sonnet 5.5 (medium).

These are the figures of Thinking Machines and Artificial Analysis.