A2Agent 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.
A2Agent compared with Needle 3
| Detail | 
A2Agent | N3
Needle 3 |
|---|
| What it does | Low-cost AI model API gateway for DeepSeek, GLM, Kimi, Qwen and MiniMax with one API key
| Foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers
|
|---|
| Stage | Startup
| Startup
|
|---|
| Founded | 2026
| Not given
|
|---|
| Based in | HK
| Not given
|
|---|
| Pricing model | Paid
| Open source
|
|---|
| Pricing | Token-based billing with no subscription. Minimum top-up $1. First top-up of $10 gets $10 bonus; $60 gets $20 bonus; $100 gets $30 bonus; $200+ gets $50 bonus. DeepSeek V4 Flash: $0.084 per 1M input tokens, $0.168 per 1M output tokens. GLM-5.3 Flash: $0.105 per 1M input, $0.350 per 1M output. MiniMa
| Not given
|
|---|
| Key features | - OpenAI and Anthropic compatible endpoints
- Token-based billing with no subscription
- Models from DeepSeek, GLM, Kimi, Qwen and MiniMax
- Credits that do not expire while account is active
- Usage tracking and dashboard management
- Pricing 10-50% below official vendor rates
- Direct sourcing from official vendor platforms
- Account scheduling and health checks for reliability
- Minimum $1 top-up with no top-up fees
- Top-up bonus credits on purchases
| - 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 | - Lowest prices available: 10-50% below official vendor rates for the same models
- Credits never expire while account remains active
- Compatible with existing OpenAI and Anthropic integrations
| - 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 votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 9 ▲ +1 (up) since last check | 56 ● no change since last check |
|---|
| Trust Flow (Majestic) | 26 | 14 |
|---|
| Citation Flow (Majestic) | 24 | 39 |
|---|
| Referring domains (Majestic) | 20 | 1592 |
|---|
5 details filled in for both companies.
More alternatives to A2Agent More alternatives to Needle 3