Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.5
65
Gemma 4 26B A4B
55
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Knowledge
+34.2 difference
Claude Sonnet 4.5
Gemma 4 26B A4B
$3 / $15
$0 / $0
N/A
N/A
N/A
N/A
200K
256K
Pick Claude Sonnet 4.5 if you want the stronger benchmark profile. Gemma 4 26B A4B only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
Claude Sonnet 4.5 is clearly ahead on the provisional aggregate, 65 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 4.5's sharpest advantage is in knowledge, where it averages 83.4 against 49.2.
Claude Sonnet 4.5 is also the more expensive model on tokens at $3.00 input / $15.00 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 Claude Sonnet 4.5 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 26B A4B gives you the larger context window at 256K, compared with 200K for Claude Sonnet 4.5.
Claude Sonnet 4.5 is ahead on BenchLM's provisional leaderboard, 65 to 55.
Claude Sonnet 4.5 has the edge for knowledge tasks in this comparison, averaging 83.4 versus 49.2. Gemma 4 26B A4B stays close enough that the answer can still flip depending on your workload.
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