Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiniMax M3
76
Qwen3.5-122B-A10B
64
Verified leaderboard positions: MiniMax M3 #12 · Qwen3.5-122B-A10B #11
Pick MiniMax M3 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
Agentic
+15.8 difference
Coding
+5.0 difference
Multimodal
+12.3 difference
MiniMax M3
Qwen3.5-122B-A10B
$0.3 / $1.2
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick MiniMax M3 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
MiniMax M3 is clearly ahead on the provisional aggregate, 76 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M3's sharpest advantage is in agentic, where it averages 71.9 against 56.1. The single biggest benchmark swing on the page is BrowseComp, 83.5% to 63.8%. Qwen3.5-122B-A10B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
MiniMax M3 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Qwen3.5-122B-A10B is the reasoning model in the pair, while MiniMax M3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MiniMax M3 gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
MiniMax M3 is ahead on BenchLM's provisional leaderboard, 76 to 64. The biggest single separator in this matchup is BrowseComp, where the scores are 83.5% and 63.8%.
Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 67. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 56.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 64.9. MiniMax M3 stays close enough that the answer can still flip depending on your workload.
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