Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Haiku 4.5
58
DeepSeek V4 Flash
59
Verified leaderboard positions: Claude Haiku 4.5 unranked · DeepSeek V4 Flash #23
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority.
Coding
+16.2 difference
Claude Haiku 4.5
DeepSeek V4 Flash
$1 / $5
$0.14 / $0.28
N/A
N/A
N/A
N/A
200K
1M
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority.
DeepSeek V4 Flash finishes one point ahead on BenchLM's provisional leaderboard, 59 to 58. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. That is roughly 17.9x on output cost alone. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
DeepSeek V4 Flash is ahead on BenchLM's provisional leaderboard, 59 to 58. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 73.3% and 73.7%.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 57.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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