Ling-3.0-flash
🤗 Hugging Face 🤖 ModelScope 🐙 OpenRouter
Params
127.5 B
Context
262,144
Downloads 30d
10 K
Likes
435
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)10 K downloads in the last 30 days
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 255.0 GB | 300.1 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 256K ctx | 255.0 GB | 892.9 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/ling-3-0-flash
{
"hf_id": "inclusionAI/Ling-3.0-flash",
"params_b": 127.49,
"context_length": 262144,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 9544,
"vram_estimates": [
{ "quant": "bf16", "gb": 300.1 }
],
"updated_at": "2026-10-19T06:02:41Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.021
input / 1M
$0.063
output / 1M
$0.0042
cached input / 1M
$0.084
1M in + 1M out
- Context window
- 262,144 tokens
- Max output
- 32,768 tokens
- Providers
- 2
- Cheapest provider
- Novita · $0.021 / $0.063
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- 20.1 / 50.6 / 19.3
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- BailingMoeV3ForCausalLM
- Parameters
- 127.5 B
- Tensor type
- BF16
- Context length
- 262,144
- Vocabulary
- 157,184
- Layers / heads
- 42 / 32
- Licence
- mit
- First seen on the Hub
- 2026-08-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model