Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Haiku 4.5
58
GPT-4.1
58
Treat this as a split decision. Claude Haiku 4.5 makes more sense if coding is the priority or you want the cheaper token bill; GPT-4.1 is the better fit if you need the larger 1M context window.
Coding
+18.7 difference
Claude Haiku 4.5
GPT-4.1
$1 / $5
$2 / $8
N/A
108 t/s
N/A
1.02s
200K
1M
Treat this as a split decision. Claude Haiku 4.5 makes more sense if coding is the priority or you want the cheaper token bill; GPT-4.1 is the better fit if you need the larger 1M context window.
Claude Haiku 4.5 and GPT-4.1 finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $1.00 input / $5.00 output per 1M tokens for Claude Haiku 4.5. GPT-4.1 gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
Claude Haiku 4.5 and GPT-4.1 are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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