ServiceNow has released Apriel-v1.5-15B-Thinker, a 15B open weights reasoning model that leads our Small Models category (<40B parameters) 💼 Overview: Apriel-v1.5-15B-Thinker is a dense, 15B parameter open weights reasoning model. This is not the first model ServiceNow has released but is a substantial jump in intelligence achieved compared to past releases 🧠 Intelligence: The model scores 52 in the Artificial Analysis Intelligence Index. This puts it on par with DeepSeek R1 0528, which has a much larger 685B parameter architecture. ServiceNow’s model scores particularly well within important behaviors for enterprise agents, such as instruction following (62% in IFBench, ahead of gpt-oss-20B, reasoning) and multi-turn conversions & tool use (68% in 𝜏²-Bench Telecom, ahead of gpt-oss-120B, reasoning). This makes it particularly well-suited to agentic use cases, which was likely a focus given ServiceNow is active in the enterprise agents space ⚙️ Output tokens and verbosity: The model produces a large number of output tokens even among reasoning models - using ~110M combined reasoning and answer tokens to complete the Artificial Analysis Intelligence Index 🖥️ Access: No serverless inference providers are yet serving the model, but it is available now on Hugging Face for local inference or self-deployment. The model has been released under an MIT license, supporting unrestricted commercial use ℹ️ Context window: The model has a native context window of 128k tokens. Congratulations to @ServiceNowRSRCH on this impressive result!

Apriel-v1.5-15B-Thinker is the new most intelligent open weights Small Model (<40B parameters)

Individual benchmark results. All benchmarks have been run like-for-like across the models and independently

The model produces a large number of output tokens even among other reasoning models - using ~110M combined reasoning and answer tokens to complete the Artificial Analysis Intelligence Index

Link to 🤗 HuggingFace repo: Further analysis on Artificial Analysis: