Runs on Data centre · Hugging Face ↗
Coding index 50.6 (Artificial Analysis)
inclusionAI's open MoE (Ling 3.0; 124B total, 5.1B active, hybrid reasoning on by default). AA now scores it — coding index 50.6 — and our first-party BCB-Hard (36%) confirms it punches above its active size. Free in opencode Zen's rotating set; on OpenRouter the :free route rotated over to Ling 3.0 Tiny, so flash is paid-only there now ($0.08/$0.22 per M).
BigCodeBench-Hard pass@1 36% (44/121), via OpenRouter :free route (hosted) — comparable full-148. The brutal counterpart to HumanEval — where HumanEval saturates near the top, BCB-Hard spreads the field, so this is the number that actually separates coding ability. First-party BCB-Hard via the free hosted route — punches above its size; AA now scores it 50.6.
Real GGUF file sizes = weight VRAM. Add the KV cache for your context (≈23 GB at 32K, fp16).
| Quantization | Size |
|---|---|
| Q4_K_S | 74.2 GB |
| Q8_0 | 133.1 GB |
| Q4_K_M | 154.6 GB |
| Q4 | 156.3 GB |
| Q5_K_M | 177.8 GB |
| Q6_K | 209.8 GB |
| IQ4_XS | 209.8 GB |
| BF16 | 248.9 GB |
~70 GB at Q4 — a single 80 GB card or a 2-GPU split; community GGUFs exist but are days old and unvetted. We tested it hosted, back when it rode the OpenRouter <code>:free</code> route.