Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
o3-mini
56
Qwen3.5-35B-A3B
56
Verified leaderboard positions: o3-mini unranked · Qwen3.5-35B-A3B #18
Treat this as a split decision. o3-mini makes more sense if instruction following is the priority; Qwen3.5-35B-A3B is the better fit if coding is the priority or you want the cheaper token bill.
Coding
+9.1 difference
Knowledge
+2.1 difference
Inst. Following
+2.0 difference
o3-mini
Qwen3.5-35B-A3B
$1.1 / $4.4
$0 / $0
160 t/s
N/A
7.12s
N/A
200K
262K
Treat this as a split decision. o3-mini makes more sense if instruction following is the priority; Qwen3.5-35B-A3B is the better fit if coding is the priority or you want the cheaper token bill.
o3-mini and Qwen3.5-35B-A3B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 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 o3-mini.
o3-mini and Qwen3.5-35B-A3B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 79.3 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Qwen3.5-35B-A3B has the edge for coding in this comparison, averaging 58.4 versus 49.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 versus 91.9. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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