Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (High)
71
Qwen3.5-122B-A10B
66
Verified leaderboard positions: DeepSeek V4 Flash (High) #19 · Qwen3.5-122B-A10B #7
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Agentic
+0.7 difference
Coding
+0.2 difference
Knowledge
+24.4 difference
DeepSeek V4 Flash (High)
Qwen3.5-122B-A10B
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
262K
Pick DeepSeek V4 Flash (High) if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V4 Flash (High) is clearly ahead on the provisional aggregate, 71 to 66. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash (High)'s sharpest advantage is in coding, where it averages 72.2 against 72. The single biggest benchmark swing on the page is BrowseComp, 53.5% to 63.8%. Qwen3.5-122B-A10B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
DeepSeek V4 Flash (High) is also the more expensive model on tokens at $0.14 input / $0.28 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. DeepSeek V4 Flash (High) gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.
DeepSeek V4 Flash (High) is ahead on BenchLM's provisional leaderboard, 71 to 66. The biggest single separator in this matchup is BrowseComp, where the scores are 53.5% and 63.8%.
Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 57.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V4 Flash (High) has the edge for coding in this comparison, averaging 72.2 versus 72. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen3.5-122B-A10B has the edge for agentic tasks in this comparison, averaging 56.1 versus 55.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.