LLM Comparison
Cactus Needle 2 vs Maple-Preview
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 models| Organization | ||
| OpenTools Score | 45 | |
| Family | Needle | Maple |
| Status | Current | Current |
| Release Date | Aug 2026 | Aug 2026 |
| Context Window | — | 131K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Apache 2.0 model artifact; runtime cost depends on local hardware, not token API pricing. | Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime. |
| Capabilities | tool-usestructured-outputjson-schemadevice-controledge-inferenceoffline | textreasoningcodeon-device-inference |
| API Identifier | Cactus-Compute/needle2 | deepgrove/maple-preview |
| Benchmarks | ||
| Mobile Actions Ordered Strict Exact Match | 63.7cactus-compute | — |
| BFCL v4 Single-Turn Overall | 42.6cactus-compute | — |
| 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 Cactus Needle 2 | View Maple-Preview | |
Cactus Compute
Cactus Needle 2
Cactus Needle 2 is a 45M-parameter, 14 MB agentic model for tiny devices. It focuses on tool calling, device control, schema-constrained JSON, and structured extraction; Cactus reports 28 MB session RAM, 800+ tok/s prefill, and 500+ tok/s decode on Raspberry Pi 5. Its 256-token sliding attention window is not a total context or output limit; those ceilings are not established by the model documentation.
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.
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