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Model comparison

LFM2.5-230M vs o3-pro

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.
LiquidAI
N/A
No comparison
OpenAI
48.33/100
0 category wins0 category wins

Public leaderboard positions: LFM2.5-230M unranked (Not scored); o3-pro #127 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-230M and o3-pro share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-230M; 2 to o3-pro.

Updated July 18, 2026
Shared results
0
LFM2.5-230M only
6
o3-pro only
2
Comparable categories
0 / 8

Benchmark data for LFM2.5-230M and o3-pro 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.

o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-230M. o3-pro has the larger context window at 200K, compared with 32K for LFM2.5-230M.

Operational comparison

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

MetricLFM2.5-230Mo3-proComparison
Input / output priceUSD per 1M tokensLFM2.5-230M$0 input / $0 outputo3-pro$20 input / $80 outputLFM2.5-230M has the lower combined listed price.
Generation speedtokens per secondLFM2.5-230MNot availableo3-pro27 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-230MNot availableo3-pro84.93 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-230M32Ko3-pro200Ko3-pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-230Mo3-proResult
BFCL v4Source 21.0%Not comparable
Knowledge
BenchmarkLFM2.5-230Mo3-proResult
GPQASource 25.4%Not comparable
GPQA-DSource 25.4%Not comparable
MMLU-ProSource 20.3%Not comparable
Artificial Analysis Intelligence IndexSource 32.5%Not comparable
AA-GPQA DiamondSource 84.5%Not comparable
Inst. Following
BenchmarkLFM2.5-230Mo3-proResult
IFEvalSource 71.7%Not comparable
IFBenchSource 38.4%Not comparable
Frequently Asked Questions (3)

Can I compare LFM2.5-230M and o3-pro 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 LFM2.5-230M and o3-pro today?

LFM2.5-230M: $0.00 input / $0.00 output per 1M tokens o3-pro: $20.00 input / $80.00 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 18, 2026

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