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Maple-Preview

MaplevPreviewCurrent
byDeepGroveDeepGrove(ai lab)
Released August 8, 2026
API Docs
46
OpenTools Scorenormalized /100
OpenTools Score
Context131.1K tokens
Price (In / Out)Free / Free
CategoryLarge Language Model
Max Output131.1K tokens

About Maple-Preview

Maple-Preview is DeepGrove’s open-source 20B-A1B ternary-weight reasoning LLM for efficient on-device inference. The model card reports 20.2B total parameters, 1.49B active parameters, a 131,072-token context window, and 5.31 GB checkpoint size.

Capabilities

textreasoningcodeon device inference

Input Modalities

text

Output Modalities

text

Technical Details

API Identifier
deepgrove/maple-preview
Category
Large Language Model
Context Window
131,072 tokens
Max Output Tokens
131,072 tokens

Tags

llmreasoning-modelon-device-aiternary-weightslow-precisionmoe

Benchmarks

Performance scores for Maple-Preview across standard benchmarks.

LiveCodeBench v6DeepGrove model card · Aug 2026
75.1%
AIME 2026DeepGrove model card · Aug 2026
87.5%
HMMT 2026DeepGrove model card · Aug 2026
78.8%
GPQA DiamondDeepGrove model card · Aug 2026
73.5%

Pricing

Token pricing for Maple-Preview API usage.

Input Tokens

Free

per million tokens

Output Tokens

Free

per million tokens

Pricing Calculator

Input cost$0.00
Output cost$0.00
Estimated monthly cost$0.00

Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime.

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Efficient low-precision language models for devices

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