Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash (Max)
77
Gemma 4 26B A4B
57
Verified leaderboard positions: DeepSeek V4 Flash (Max) #12 · Gemma 4 26B A4B unranked
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
Knowledge
+10.8 difference
DeepSeek V4 Flash (Max)
Gemma 4 26B A4B
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Flash (Max) if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill.
DeepSeek V4 Flash (Max) is clearly ahead on the provisional aggregate, 77 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash (Max)'s sharpest advantage is in knowledge, where it averages 60 against 49.2. The single biggest benchmark swing on the page is HLE, 34.8% to 17.2%.
DeepSeek V4 Flash (Max) 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 Gemma 4 26B A4B. That is roughly Infinityx on output cost alone. DeepSeek V4 Flash (Max) gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
DeepSeek V4 Flash (Max) is ahead on BenchLM's provisional leaderboard, 77 to 57. The biggest single separator in this matchup is HLE, where the scores are 34.8% and 17.2%.
DeepSeek V4 Flash (Max) has the edge for knowledge tasks in this comparison, averaging 60 versus 49.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
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