Microsoft MAI-Thinking-1 vs Hunyuan 3 (Tencent Hy3)

Hunyuan 3 (Tencent Hy3) edges out Microsoft MAI-Thinking-1 by 0.6 points (8.1 vs 7.5) -- a A-tier vs B-tier split that's narrow but real. Not a blowout; both belong on a shortlist. The score gap shows up most clearly in the categories that matter for Hunyuan 3 (Tencent Hy3)'s strengths, so if those categories are your priority, the lead translates.

On pricing, Hunyuan 3 (Tencent Hy3) starts free while Microsoft MAI-Thinking-1 requires a paid plan from day one (Not disclosed+). If you're testing the waters or running an occasional workload, that gap matters more than the score differential. Microsoft MAI-Thinking-1 starts at Not disclosed; Hunyuan 3 (Tencent Hy3) starts at $0. Compare what each entry tier actually unlocks before you compare list prices -- the limits matter more than the headline number.

By use case: pick Microsoft MAI-Thinking-1 when azure / microsoft foundry shops that want a first-party reasoning model without an openai dependency, and developers who want a cost-efficient reasoning tier (sparse moe, 256k context) accessible today through openrouter, fireworks, or baseten. Pick Hunyuan 3 (Tencent Hy3) when chinese-market builders, multilingual products that need strong cn performance, and cost-sensitive developers who want frontier-class quality at sub-deepseek pricing. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Hunyuan 3 (Tencent Hy3)'s lane, the tier-list ranking and the use-case fit point the same direction; if you're in Microsoft MAI-Thinking-1's lane, the score gap matters less than the fit.

Bottom line: Hunyuan 3 (Tencent Hy3) is the safer default for most readers, but Microsoft MAI-Thinking-1 is competitive enough that the tie-breaker is your specific workload, not the spec sheet.