o1 vs Qwen3.5-35B-A3B

Pick o1 if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

o1 finishes one point ahead on BenchLM's provisional leaderboard, 57 to 56. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

o1's sharpest advantage is in instruction following, where it averages 92.2 against 91.9. The single biggest benchmark swing on the page is GPQA, 75.7% to 84.2%. Qwen3.5-35B-A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-35B-A3B. That is roughly Infinityx on output cost alone. Qwen3.5-35B-A3B gives you the larger context window at 262K, compared with 200K for o1.