Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Haiku 4.5
56
Gemma 4 12B
53
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if you need the larger 256K context window or you want the stronger reasoning-first profile.
Coding
+1.3 difference
Claude Haiku 4.5
Gemma 4 12B
$1 / $5
N/A
N/A
N/A
N/A
N/A
200K
256K
Pick Claude Haiku 4.5 if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if you need the larger 256K context window or you want the stronger reasoning-first profile.
Claude Haiku 4.5 has the cleaner provisional overall profile here, landing at 56 versus 53. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Haiku 4.5's sharpest advantage is in coding, where it averages 73.3 against 72.
Gemma 4 12B is the reasoning model in the pair, while Claude Haiku 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 12B gives you the larger context window at 256K, compared with 200K for Claude Haiku 4.5.
Claude Haiku 4.5 is ahead on BenchLM's provisional leaderboard, 56 to 53.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 72. Gemma 4 12B stays close enough that the answer can still flip depending on your workload.
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