GLM-5.2 is live. #1 throughput on OpenRouter, pay-per-token on FriendliAI. Try it today ➜
majid2230
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
majid2230
Model Tree
Qwen/Qwen3.6-27B
Input Modalities
Output Modalities
Supported Functionality
| Model | win@top-10% conf |
|---|---|
| this model | 34.3% |
| GBM enriched-feature baseline | 34.9% |
| best LLM teacher (mistral_nemo) | 32.1% |
| other v9 teachers | 30.6-32.0% |
Forward-looking 60-day portfolio sim (val window Jan-Mar 2026; top-5/day, +20% target, no stop, 0.2% fees): +93.2% (Sharpe 0.234) vs GBM +23.2% (Sharpe 0.090). Caveats: survivorship bias in the coin universe; midpoint-exit estimate for non-target trades; paper-trade before risking money.
The training loss only constrains the Yes/No logit ratio — read token logprobs, never parse generated text:
python
# prob(pump) = softmax over {yes_id, no_id} of last-token logits, prompt ends with "Answer:"
Prompt format: v11 enriched (candles + "Market context:" block + "Will this coin go +15% in next 72h?").