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GPT-5.5 Pro vs LFM2.5-VL-450M

Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

GPT-5.5 Pro

100

VS

LFM2.5-VL-450M

0

1 categoriesvs0 categories

Pick GPT-5.5 Pro if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

Category Breakdown

Knowledge

GPT-5.5 Pro
57.2vs21.6

+35.6 difference

Operational Comparison

GPT-5.5 Pro

LFM2.5-VL-450M

Price (per 1M tokens)

$30 / $180

$0 / $0

Speed

N/A

N/A

Latency (TTFT)

N/A

N/A

Context Window

1M

128K

Quick Verdict

Pick GPT-5.5 Pro if you want the stronger benchmark profile. LFM2.5-VL-450M only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.

GPT-5.5 Pro is clearly ahead on the provisional aggregate, 100 to 0. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5 Pro's sharpest advantage is in knowledge, where it averages 57.2 against 21.6.

GPT-5.5 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-VL-450M. That is roughly Infinityx on output cost alone. GPT-5.5 Pro is the reasoning model in the pair, while LFM2.5-VL-450M 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-5.5 Pro gives you the larger context window at 1M, compared with 128K for LFM2.5-VL-450M.

Benchmark Deep Dive

Frequently Asked Questions (2)

Which is better, GPT-5.5 Pro or LFM2.5-VL-450M?

GPT-5.5 Pro is ahead on BenchLM's provisional leaderboard, 100 to 0.

Which is better for knowledge tasks, GPT-5.5 Pro or LFM2.5-VL-450M?

GPT-5.5 Pro has the edge for knowledge tasks in this comparison, averaging 57.2 versus 21.6. LFM2.5-VL-450M stays close enough that the answer can still flip depending on your workload.

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Last updated: April 23, 2026

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