GPT-Rosalind (OpenAI) vs Microsoft MAI-Thinking-1

Microsoft MAI-Thinking-1 edges out GPT-Rosalind (OpenAI) by 0.7 points (7.5 vs 6.8) -- a B-tier vs C-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 Microsoft MAI-Thinking-1's strengths, so if those categories are your priority, the lead translates.

Neither tool offers a free tier. GPT-Rosalind (OpenAI) starts at Invite only, Microsoft MAI-Thinking-1 at Not disclosed. Plan to budget for whichever you pick. The cheap tier usually caps out faster than buyers expect, so look at what the entry plan actually includes -- both vendors have raised list prices in 2026 and the limits are where most of the cost surprise lives.

By use case: pick GPT-Rosalind (OpenAI) when researchers and enterprises in biology, drug discovery, protein science, translational medicine, or adjacent life-sciences domains who can get trusted access. 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. The two tools aren't fighting for the same person -- they're aiming at adjacent jobs that occasionally overlap. If you're squarely in Microsoft MAI-Thinking-1's lane, the tier-list ranking and the use-case fit point the same direction; if you're in GPT-Rosalind (OpenAI)'s lane, the score gap matters less than the fit.

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