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Model comparison

GPT-5.4 Pro vs LFM2.5-ColBERT-350M

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
60.89/100
No comparison
0 category wins0 category wins

Public leaderboard positions: GPT-5.4 Pro #44 (Estimated); LFM2.5-ColBERT-350M unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 Pro and LFM2.5-ColBERT-350M share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to GPT-5.4 Pro; 2 to LFM2.5-ColBERT-350M.

Updated July 23, 2026
Shared results
0
GPT-5.4 Pro only
12
LFM2.5-ColBERT-350M only
2
Comparable categories
0 / 8

Benchmark data for GPT-5.4 Pro and LFM2.5-ColBERT-350M is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-5.4 Pro is priced at $30.00 input / $180.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-ColBERT-350M. GPT-5.4 Pro has the larger context window at 1.05M, compared with 32K for LFM2.5-ColBERT-350M.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5.4 ProLFM2.5-ColBERT-350MComparison
Input / output priceUSD per 1M tokensGPT-5.4 Pro$30 input / $180 outputLFM2.5-ColBERT-350M$0 input / $0 outputLFM2.5-ColBERT-350M has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 Pro74 tok/sLFM2.5-ColBERT-350MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 Pro151.79 sLFM2.5-ColBERT-350MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 Pro1.05MLFM2.5-ColBERT-350M32KGPT-5.4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
BrowseCompSource 89.3%Not comparable
Reasoning
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
ARC-AGI-2Source 83.3%Not comparable
CritPtSource 30.0%Not comparable
Knowledge
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
HLESource 58.7%Not comparable
FrontierScienceSource 36.7%Not comparable
FrontierScience ResearchSource 36.7%Not comparable
HLE w/o toolsSource 42.7%Not comparable
Math
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
IPhO 2025 (Theory)Source 93.5%Not comparable
FrontierMath (legacy)Source 50%Not comparable
FrontierMath v2 (Tiers 1-3)Source 50.000%Not comparable
FrontierMath v2 (Tier 4)Source 37.500%Not comparable
Multilingual
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
NanoBEIR MultilingualSource 60.5%Not comparable
MKQA-11Source 69.4%Not comparable
Multimodal
BenchmarkGPT-5.4 ProLFM2.5-ColBERT-350MResult
MMMU-ProSource 94%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.4 Pro and LFM2.5-ColBERT-350M on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-5.4 Pro and LFM2.5-ColBERT-350M today?

GPT-5.4 Pro: $30.00 input / $180.00 output per 1M tokens LFM2.5-ColBERT-350M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 23, 2026

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