---
license: apache-2.0
base_model:
- deepreinforce-ai/Ornith-1.0-35B
pipeline_tag: image-text-to-text
---
## 1. Introduction
We're introducing **GRM-3.2-Sky**, our latest flagship model built for **long-horizon agentic tasks** and **extremely difficult reasoning problems**. GRM-3.2-Sky marks a substantial leap in long-horizon task capability over its predecessor, **GRM-2.6-Plus**, and is designed to serve as a dependable engine for complex, multi-step workflows.
The model is purpose-built for **long-horizon agentic tasks** and problems that are simply *hard* — difficult coding challenges, advanced mathematics, and rigorous logical reasoning. GRM-3.2-Sky aims to sustain coherent, goal-directed behavior over extended interactions, making it well suited for users who need a model that doesn't lose the thread across many steps of tool use, planning, and self-correction.
## 2. Key Capabilities
- **Long-Horizon Agentic Mastery:** GRM-3.2-Sky is specifically optimized to maintain coherence, planning quality, and task fidelity across long, multi-step agentic workflows, a significant step up from GRM-2.6-Plus.
- **Elite Reasoning on Hard Problems:** Strong performance on difficult coding, advanced mathematics, and logical reasoning tasks, with careful, structured step-by-step problem-solving.
- **Robust Coding Ability:** Handles complex, difficult codebases and multi-file coding tasks, including debugging, refactoring, and long-running terminal/agentic coding sessions.
- **Consistent Logical Reasoning:** Built to reason carefully through multi-constraint logic problems without losing track of intermediate steps.
- **Flagship-Class Performance:** Positioned as the top of the GRM lineup, intended to compete head-to-head with frontier-scale models on the hardest tasks.
## 3. Performance
GRM-3.2-Sky is designed as our most capable model to date for long-horizon agentic work and difficult reasoning. It builds directly on the strengths of GRM-2.6-Plus while specifically targeting the failure modes that emerge over long task horizons — drift, inconsistency, and loss of goal state — resulting in meaningfully improved reliability across extended sessions.
Its core strength is **sustained intelligence over time**: elite-level reasoning, resilient long-horizon planning, and the ability to stay on task through difficult, multi-step coding, math, and logic problems.
### Detailed Benchmarks
| |
GRM-3.2-Sky |
GRM-2.6-Plus-0628 |
GPT-5.6-Luna |
Sonnet 5 |
Gemini 3 Pro |
| Knowledge & STEM |
| MMLU-Pro |
89.5 |
86.8 |
— |
— |
89.8 |
| MMLU-Redux |
96.9 |
94.2 |
— |
— |
— |
| GPQA Diamond |
90.6 |
88.3 |
92.3 |
— |
91.9 |
| Reasoning & Coding |
| LiveCodeBench v6 |
87.7 |
84.8 |
— |
— |
82.9 |
| HMMT Feb 26 |
86.4 |
84.8 |
— |
— |
— |
| AIME26 |
96.3 |
95.1 |
— |
— |
— |
| General Agent |
| SWE-bench Verified |
81.4 |
77.7 |
— |
85.2 |
76.2 |
| SWE-bench Pro |
58.3 |
54.0 |
62.7 |
63.2 |
— |
| Terminal-Bench 2.1 |
66.3 |
— |
84.7 |
80.4 |
— |
| NL2Repo |
35.6 |
— |
— |
— |
— |
*Scores are taken from each provider's own published model card, blog post, or system card where available; "—" indicates a score was not publicly reported by that provider at the time of writing. Different labs may use different agent scaffolds when reporting SWE-bench and Terminal-Bench results, so cross-provider comparisons should be read with that caveat.*
## 4. Family
The GRM-3.2 family is available in various sizes to suit every use case.
| Model |
Size |
Domain |
| GRM-3.2-Sky |
35B-A3B |
Flagship model for long-horizon tasks |
| GRM-3.2-Cliff |
9B |
Capable model for low GPU environments |
| GRM-3.2-Turf |
1.2B |
Lightweight model for practical reasoning |
## 5. Architecture
GRM-3.2-Sky is built on the Ornith-1.0-35B architecture, a 35B-parameter Mixture-of-Experts model with ~3B active parameters (35B-A3B), optimized for long-horizon agentic workflows, difficult coding, advanced mathematics, and rigorous logical reasoning, while remaining efficient to deploy thanks to its sparse activation.
---
**GRM-3.2-Sky** is developed by **[OrionLLM](https://huggingface.co/OrionLLM)** and released under the Apache 2.0 License.
