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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 and released under the Apache 2.0 License.