Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Haiku 4.5
59
GPT-5.4
93
Verified leaderboard positions: Claude Haiku 4.5 unranked · GPT-5.4 #4
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Coding
+15.6 difference
Claude Haiku 4.5
GPT-5.4
$1 / $5
$2.5 / $15
N/A
74 t/s
N/A
151.79s
200K
1.05M
Pick GPT-5.4 if you want the stronger benchmark profile. Claude Haiku 4.5 only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.4 is clearly ahead on the provisional aggregate, 93 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $1.00 input / $5.00 output per 1M tokens for Claude Haiku 4.5. That is roughly 3.0x on output cost alone. GPT-5.4 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. GPT-5.4 gives you the larger context window at 1.05M, compared with 200K for Claude Haiku 4.5.
GPT-5.4 is ahead on BenchLM's provisional leaderboard, 93 to 59.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 57.7. GPT-5.4 stays close enough that the answer can still flip depending on your workload.
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