Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Haiku 4.5
58
DeepSeek V4 Pro
71
Verified leaderboard positions: Claude Haiku 4.5 unranked · DeepSeek V4 Pro #22
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority.
Coding
+14.5 difference
Claude Haiku 4.5
DeepSeek V4 Pro
$1 / $5
$1.74 / $3.48
N/A
N/A
N/A
N/A
200K
1M
Pick DeepSeek V4 Pro if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority.
DeepSeek V4 Pro is clearly ahead on the provisional aggregate, 71 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro. DeepSeek V4 Pro gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
DeepSeek V4 Pro is ahead on BenchLM's provisional leaderboard, 71 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.3% and 73.6%.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 58.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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