Qwen3-4B vs Ling-3.0-tiny
Specs, VRAM requirements and download trends — updated 10 November 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-4B | Ling-3.0-tiny |
|---|---|---|
| Deployment | Open weights | Open weights · also via API |
| Parameters | 4.0 B | 7.9 B |
| Architecture | Qwen3ForCausalLM | BailingMoeV3ForCausalLM |
| Context length | 40,960 | 131,072 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 4,013,632 | 14,221 |
| Downloads all time | 94.5 M | 59 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2026-08-10 |
| API input price / 1M tokens | not on OpenRouter | $0.015 |
| API output price / 1M tokens | not on OpenRouter | $0.045 |
| Est. cost per 1M input + 1M output tokens | not on OpenRouter | $0.06 |
| Cached input / 1M tokens | not on OpenRouter | $0.003 |
| AA Intelligence Index | not on OpenRouter | — |
| AA Coding Index | not on OpenRouter | 26.5 |
| AA Agentic Index | not on OpenRouter | 4.4 |
| Max output tokens | not on OpenRouter | 250,000 |
| API providers | not on OpenRouter | 1 |
| Tool calling | not on OpenRouter | Yes |
| Reasoning mode | not on OpenRouter | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Ling-3.0-tiny
$0.06
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
12.6 M14 K
Qwen3-4B
Ling-3.0-tiny
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-4B · fp16
10.0 GB / 24 GB
Ling-3.0-tiny · fp16 @ 128K ctx
36.8 GB / 24 GB