LLM Comparison
Maple-Preview vs Nemotron 3 Super
Side-by-side specs, pricing & capabilities · Updated October 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 45 | 21 |
| Family | Maple | Nemotron |
| Status | Current | Current |
| Release Date | Aug 2026 | Mar 2026 |
| Context Window | 131K tokens | 262K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. | Free tier available on OpenRouter with rate limits |
| Capabilities | textreasoningcodeon-device-inference | textcode |
| API Identifier | deepgrove/maple-preview | nvidia/nemotron-3-super-120b-a12b:free |
| 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 Super | |
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. The model card specifies 131,072 tokens of context but does not establish a separate maximum output-token limit.
NVIDIA
Nemotron 3 Super
Nemotron 3 Super is NVIDIA's 120B-parameter model with 12B active parameters. Its default Hugging Face configuration uses 256K context; NVIDIA documents up to 1M model context with additional VRAM. Hosted endpoint limits may differ.
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