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Microsoft released a narrow model that doesn't generate text. It scores a fixed set of answer options and returns a confidence for each, aimed at routing, classification, and verification in production pipelines. It's built on Alibaba's open-weight Qwen3.5-9B, and most of the performance numbers so far come from Microsoft itself.
- The model returns calibrated probabilities over predefined options in a single forward pass, so applications can act on a score instead of parsing free-form output.
- Microsoft says it beat 36 benchmarks covering about 150,000 questions and runs far faster than GPT-6 Sol on P50 latency, but these are vendor-reported figures with no independent reproduction yet.
- Pricing reported via OpenRouter is $0.042 per million input tokens with free output, and weights aren't released, so access is through hosted APIs only.