OpenRouter· Updated
OpenRouter released Elephant Alpha, a 100B-parameter stealth model optimized for high-reasoning tasks with minimal token consumption. Its 256K context window and high throughput make it a specialized option for complex agentic workflows and large-scale document processing.
elephant-alpha, a 100B-parameter stealth model. It focuses on intelligence efficiency (high reasoning performance with minimal token usage). The model features a 256K context window and supports structured output, function calling, and prompt caching.This release targets the gap between massive frontier models and smaller, faster models. By matching state-of-the-art performance at the 100B scale, it provides a balance of speed and logic. Its high throughput of 84 tokens per second makes it suitable for real-time applications where latency usually forces a trade-off with intelligence.
You can integrate elephant-alpha into workflows for complex debugging, code completion, and processing large document sets via the OpenRouter API. Note that the provider logs all prompts and completions to improve the model, so avoid using it for sensitive or private data.
🥷 Welcoming a new stealth model on OpenRouter: Elephant Alpha. Elephant is a 100B parameter instant model, matching SOTA performance of similar scale while being extremely token efficient. Strong at code completion, debugging, document processing, and lightweight agents. https://t.co/RjTxrQm0ZZ
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