Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
DeepSeek V4 Flash
59
Gemma 4 26B A4B
57
Verified leaderboard positions: DeepSeek V4 Flash #23 · Gemma 4 26B A4B unranked
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Knowledge
+4.0 difference
DeepSeek V4 Flash
Gemma 4 26B A4B
$0.14 / $0.28
$0 / $0
N/A
N/A
N/A
N/A
1M
256K
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
DeepSeek V4 Flash has the cleaner provisional overall profile here, landing at 59 versus 57. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V4 Flash 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. Gemma 4 26B A4B is the reasoning model in the pair, while DeepSeek V4 Flash 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 V4 Flash gives you the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 57. The biggest single separator in this matchup is HLE, where the scores are 8.1% and 17.2%.
Gemma 4 26B A4B has the edge for knowledge tasks in this comparison, averaging 49.2 versus 45.2. Inside this category, HLE is the benchmark that creates the most daylight between them.
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