Inkling Small
描述
Inkling-Small is Thinking Machines Lab's efficient open-weights MoE multimodal model (276B total / 12B active parameters) released under Apache 2.0. It accepts text, image, and audio inputs and generates text, with native reasoning, variable thinking effort, and a context window up to 1M tokens (Tinker exposes 64K and 256K configurations). Hugging Face weights: thinkingmachines/Inkling-Small and thinkingmachines/Inkling-Small-NVFP4. Vendor self-host VRAM: BF16 ≥ ~600 GB aggregated; NVFP4 ≥ ~180 GB aggregated. SWE-Bench Verified 80.2% vs Inkling 77.6% (same bash-only harness). Fine-tuning and playground chat are available via Tinker. Official Tinker serverless inference (256K, list): $0.30 / $1.20 per 1M input/output tokens ($0.06 cached).
能力雷達圖
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
Audio
Chat
Factuality
General
Instruction Following
Math
Reasoning
Vision
AA 評測指數
(Artificial Analysis)LLM Stats 分類評分
(LLM Stats (zeroeval))定價
速度
供應商價格排行
供應商價格排行
12 個供應商
比較該模型在不同 API 供應商之間的定價。