LLM Comparison
Maple-Preview vs Nemotron 3 Nano 30B A3B
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 50 | |
| Family | Maple | Nemotron |
| Status | Current | Current |
| Release Date | Aug 2026 | Dec 2025 |
| Context Window | 131K tokens | 262K tokens |
| Input Price | Free | $0.05/M tokens |
| Output Price | Free | $0.20/M tokens |
| Pricing Notes | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. | — |
| Capabilities | textreasoningcodeon-device-inference | textcode |
| Max Output | 131K tokens | — |
| API Identifier | deepgrove/maple-preview | nvidia/nemotron-3-nano-30b-a3b |
| Benchmarks | ||
| LiveCodeBench v6 | 75.1DeepGrove model card | — |
| AIME 2026 | 87.5DeepGrove model card | — |
| HMMT 2026 | 78.8DeepGrove model card | — |
| GPQA Diamond | 73.5DeepGrove model card | — |
| View Maple-Preview | View Nemotron 3 Nano 30B A3B | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Maple-PreviewCheapest | $0.00 | $0.00 | $0.00 | — |
| Nemotron 3 Nano 30B A3B | $0.05 | $0.10 | $0.15 | +0% |
DeepGrove
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.
NVIDIA
Nemotron 3 Nano 30B A3B
Nemotron 3 Nano 30B A3B is a large language model from NVIDIA. Supports up to 262,144 token context window. Available from $0.05/M input tokens.
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