DeepSeek V3.2 (Thinking) vs Holo3-122B-A10B

Pick Holo3-122B-A10B if you want the stronger benchmark profile. DeepSeek V3.2 (Thinking) only becomes the better choice if you want the cheaper token bill or you need the larger 128K context window.

Holo3-122B-A10B is clearly ahead on the aggregate, 79 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Holo3-122B-A10B's sharpest advantage is in agentic, where it averages 78.9 against 69.4. The single biggest benchmark swing on the page is OSWorld-Verified, 67% to 78.8%.

Holo3-122B-A10B is also the more expensive model on tokens at $0.40 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.2 (Thinking). That is roughly Infinityx on output cost alone. DeepSeek V3.2 (Thinking) is the reasoning model in the pair, while Holo3-122B-A10B 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. DeepSeek V3.2 (Thinking) gives you the larger context window at 128K, compared with 64K for Holo3-122B-A10B.