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Solo Router vs Needle 3

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Solo Router compared with Needle 3
DetailSolo Router logo Solo Router Needle 3
What it doesOne API key for DeepSeek, GLM, Kimi, Qwen, Llama, Gemma and more Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
StageStartup Startup
FoundedNot given Not given
Based inGB Not given
Pricing modelFreemium Open source
PricingFree: $0.25 credit on sign-up (one per person). Pay as you go: from $5 top up, per-token pricing. $0.182 per million tokens from (DeepSeek V4.1 Flash input), $0.195 per million tokens from (GLM-5.3 Flash, MiniMax input), $0.234 per million tokens from (Gemma 4 31B input), $0.325 per million tokens f Not given
Key features
  • Support for 25+ chat models from multiple providers
  • Image generation with FLUX and Stable Diffusion
  • Video generation with Wan 2.2
  • Speech synthesis with ElevenLabs and Qwen
  • Standard chat-completions API format
  • Server-sent events and streaming
  • Function calling and JSON mode
  • Per-API-key spending limits
  • Embeddings and reranking
  • In-browser chat interface
  • Tool calling with function selection and argument filling
  • Structured extraction with guaranteed JSON parsing
  • Text embeddings for local semantic search and matching
  • Confidence scoring for routing and gating calls
  • Laddered subnetwork architecture from 2 to 20 layers
  • LoRA fine-tuning support for customization
  • 400-4k tokens per second inference speed on Raspberry Pi 5
  • Python package with pip install and Hugging Face distribution
What makes it different
  • Single API key to access 25+ models from 17 different providers
  • No subscriptions, pay only per token used
  • Prompts and responses are never stored
  • Works with existing tools by changing base URL
  • Pricing starts from $0.182 per million tokens
  • Beats models 10x its size on mobile tool calling benchmarks
  • Matches models 2-3x larger on structured extraction tasks
  • Entire model in a single 8-29 MB binary for tiny devices
  • Simple Attention Network architecture uses 2x fewer MFLOPs than transformers
  • Fine-tuned subnetworks outperform larger models like DeepSeek V4 Flash
Community votes00
DR (Domain Rating by Ahrefs)34 −1 (down) since last check56 no change since last check
Trust Flow (Majestic)014
Citation Flow (Majestic)939
Referring domains (Majestic)81592

5 details filled in for both companies.

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