OrionLLM/GRM2-3b

GRM2

1. Introduction

GRM2 is a 3B-parameter AI designed for general-purpose, reasoning-focused tasks, with a strong emphasis on improving multi-domain reasoning across code, mathematics, science, and complex knowledge tasks. It is optimized for handling long chains of thought, enabling more structured, accurate, and reliable reasoning over difficult problems.

Despite its compact size, the model achieves strong benchmark performance, making it an efficient choice for users who want a balance between reasoning quality, versatility, and deployability.

2. Key Capabilities

• Deep Reasoning at Speed: GRM2 delivers high performance on reasoning-heavy and complex tasks, with the ability to compete with — and in some cases surpass — much larger 30B-class models.
• A Robust Engine for Coding & Agents: Despite having only 3B parameters, GRM2 can generate large, consistent code outputs and is an excellent choice for agentic workflows running on personal devices.
• Accessible Local Deployment: Optimized for accessibility, GRM2 brings elite-level intelligence to local environments, making it a strong option for local inference across a wide range of hardware.
• Efficient Long Context: The model supports a cost-efficient 256K context window, enabling long, chronologically consistent chains of reasoning with strong introspective capabilities.

3. Performance

The GRM2 delivers performance equivalent to larger models, while remaining open, small, and efficient.

Detailed Benchmarks

Model	LiveCodeBench v6	HMMT Nov 25	GPQA / GPQA Diamond	MultiChallenge	AIME 2026	xBench-DeepSearch-2510	BFCL-V4
OrionLLM/GRM2-3b	76.9	77.92	83.8	52.21	87.40	39.0	56.5
Qwen/Qwen3-32B	55.7	57.08	68.4	38.72	75.83	8	47.90
OpenAI/o3-mini	76.4	N/A	79.7	39.89	86.5	N/A	65.12