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).
能力雷达图
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
Audio
Chat
Factuality
General
Instruction Following
Math
Reasoning
Vision
AA 评测指数
(Artificial Analysis)LLM Stats 分类评分
(LLM Stats (zeroeval))定价
速度
供应商价格排行
供应商价格排行
12 个供应商
比较该模型在不同 API 供应商之间的定价。