Qwen3-32B vs Ling-3.0-flash
Specs, VRAM requirements and download trends — updated 24 October 2026.
inclusionAI · B · Open weights
Params
127.5 B
Context
262,144
30d
10 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-32B | Ling-3.0-flash |
|---|---|---|
| Deployment | Open weights · also via API | Open weights · also via API |
| Parameters | 32.8 B | 127.5 B |
| Architecture | Qwen3ForCausalLM | BailingMoeV3ForCausalLM |
| Context length | 40,960 | 262,144 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 2,750,187 | 9,544 |
| Downloads all time | 60.7 M | 44 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-04-27 | 2026-08-02 |
| API input price / 1M tokens | $0.08 | $0.021 |
| API output price / 1M tokens | $0.28 | $0.063 |
| Est. cost per 1M input + 1M output tokens | $0.36 | $0.084 |
| Cached input / 1M tokens | — | $0.0042 |
| AA Intelligence Index | 7.3 | 20.1 |
| AA Coding Index | — | 50.6 |
| AA Agentic Index | — | 19.3 |
| Max output tokens | 16,384 | 32,768 |
| API providers | 3 | 2 |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
API cost
Estimated cost of 1M input + 1M output tokens via OpenRouter
Qwen3-32B
$0.36
Ling-3.0-flash
$0.084
Ling-3.0-flash is 4.3× cheaper at list price.
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
10.1 M10 K
Qwen3-32B
Ling-3.0-flash
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-32B · fp16
77.5 GB / 24 GB
Ling-3.0-flash · fp16 @ 256K ctx
892.9 GB / 24 GB