Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 E4B
36
Qwen3 235B 2507
33
Pick Gemma 4 E4B if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+10.6 difference
Gemma 4 E4B
Qwen3 235B 2507
$0 / $0
$0 / $0
N/A
N/A
N/A
N/A
128K
128K
Pick Gemma 4 E4B if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Gemma 4 E4B has the cleaner provisional overall profile here, landing at 36 versus 33. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemma 4 E4B is the reasoning model in the pair, while Qwen3 235B 2507 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.
Gemma 4 E4B is ahead on BenchLM's provisional leaderboard, 36 to 33. The biggest single separator in this matchup is GPQA, where the scores are 58.6% and 77.5%.
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 76.2 versus 65.6. Inside this category, GPQA is the benchmark that creates the most daylight between them.
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