LLM Comparison
Cactus Needle 2 vs Trinity Large Preview
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 35 | |
| Family | Needle | Trinity |
| Status | Current | Current |
| Release Date | Aug 2026 | Jan 2026 |
| Context Window | 256 tokens | 131K tokens |
| Input Price | — | — |
| Output Price | — | — |
| Pricing Notes | Apache 2.0 model artifact; runtime cost depends on local hardware, not token API pricing. | Free tier available on OpenRouter with rate limits |
| Capabilities | tool-usestructured-outputjson-schemadevice-controledge-inferenceoffline | textcode |
| Max Output | 256 tokens | — |
| API Identifier | Cactus-Compute/needle2 | arcee-ai/trinity-large-preview:free |
| Benchmarks | ||
| Mobile Actions Ordered Strict Exact Match | 63.7cactus-compute | — |
| BFCL v4 Single-Turn Overall | 42.6cactus-compute | — |
| MMLU | — | 87.2https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| MMLU-Pro | — | 75.2https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| GPQA Diamond | — | 63.3https://huggingface.co/arcee-ai/Trinity-Large-Preview |
| View Cactus Needle 2 | View Trinity Large 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.
Arcee AI
Trinity Large Preview
Trinity Large Preview is a large language model from Arcee AI. Supports up to 131,000 token context window. Available free with rate limits on OpenRouter.
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