LLM Comparison
Cactus Needle 2 vs Olmo 3 32B Think
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | ||
| Family | Needle | Olmo |
| Status | Current | Current |
| Release Date | Aug 2026 | Nov 2025 |
| Context Window | 256 tokens | 66K tokens |
| Input Price | Free | $0.15/M tokens |
| Output Price | Free | $0.50/M tokens |
| Pricing Notes | Apache 2.0 model artifact; runtime cost depends on local hardware, not token API pricing. | — |
| Capabilities | tool-usestructured-outputjson-schemadevice-controledge-inferenceoffline | textcode |
| Max Output | 256 tokens | 66K tokens |
| API Identifier | Cactus-Compute/needle2 | allenai/olmo-3-32b-think |
| Benchmarks | ||
| Mobile Actions Ordered Strict Exact Match | 63.7cactus-compute | — |
| BFCL v4 Single-Turn Overall | 42.6cactus-compute | — |
| View Cactus Needle 2 | View Olmo 3 32B Think | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Cactus Needle 2Cheapest | $0.00 | $0.00 | $0.00 | — |
| Olmo 3 32B Think | $0.15 | $0.25 | $0.40 | +0% |
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.
AllenAI
Olmo 3 32B Think
Olmo 3 32B Think is a large language model from AllenAI. Supports up to 65,536 token context window. Available from $0.15/M input tokens.
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