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Model comparison

GPT-5.4 nano vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.72/100
Margin
25.5pts
← winning
41.25/100
0 category wins1 category wins

BenchAlign evidence: GPT-5.4 nano supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.4 nano and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 18 results are unique to GPT-5.4 nano; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
GPT-5.4 nano only
18
LFM2.5-8B-A1B only
6
Comparable categories
1 / 8

Pick GPT-5.4 nano if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.4 nano is clearly ahead on the provisional aggregate, 60 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.4 nano is also the more expensive model on tokens at $0.20 input / $1.25 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. That is roughly Infinityx on output cost alone. GPT-5.4 nano gives you the larger context window at 400K, compared with 128K for LFM2.5-8B-A1B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GPT-5.4 nano and LFM2.5-8B-A1B
CategoryGPT-5.4 nanoΔLFM2.5-8B-A1B
MathGPT-5.4 nano21.0Margin 29.0LFM2.5-8B-A1B50.0
AgenticGPT-5.4 nano42.9MarginNo overlapLFM2.5-8B-A1BNot measured
KnowledgeGPT-5.4 nano43.8MarginNo overlapLFM2.5-8B-A1BNot measured
MultimodalGPT-5.4 nano66.1MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingGPT-5.4 nanoNot measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricGPT-5.4 nanoLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensGPT-5.4 nano$0.2 input / $1.25 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondGPT-5.4 nano191 tok/sLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.4 nano3.64 sLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.4 nano400KLFM2.5-8B-A1B128KGPT-5.4 nano lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
Terminal-Bench 2.0Source 46.3%Not comparable
OSWorld-VerifiedSource 39%Not comparable
MCP AtlasSource 56.1%Not comparable
ToolathlonSource 35.5%Not comparable
τ²-bench resultsSource 76%16.1%GPT-5.4 nano leads
AA Agentic IndexSource 27.5%Not comparable
APEX-Agents-AASource 24.9%Not comparable
GDPval-AASource 30.0%Not comparable
GDPval-AASource 1100Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
Vibe Code BenchSource 26.10%Not comparable
AA Coding IndexSource 56.1%Not comparable
Terminal-Bench HardSource 42.4%4.5%GPT-5.4 nano leads
AA-SciCodeSource 46.9%7.8%GPT-5.4 nano leads
Reasoning
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
AA-LCRSource 66.0%0.0%GPT-5.4 nano leads
CritPtSource 9.3%0.0%GPT-5.4 nano leads
Knowledge
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
GPQASource 82.8%Not comparable
HLESource 37.7%Not comparable
HLE w/o toolsSource 24.3%Not comparable
Artificial Analysis Intelligence IndexSource 38.2%8.3%GPT-5.4 nano leads
AA-GPQA DiamondSource 81.7%51.3%GPT-5.4 nano leads
AA-HLESource 26.5%6.9%GPT-5.4 nano leads
AA-Omniscience IndexSource -29.5%-33.3%GPT-5.4 nano leads
AA-Omniscience AccuracySource 25.4%9.4%GPT-5.4 nano leads
AA-Omniscience Hallucination RateSource 73.6%47.0%LFM2.5-8B-A1B leads
MathLFM2.5-8B-A1B wins
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
FrontierMath v2 (Tiers 1-3)Source 25.860%Not comparable
FrontierMath v2 (Tier 4)Source 6.250%Not comparable
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
MMMU-ProSource 66.1%Not comparable
MMMU-Pro w/ PythonSource 69.5%Not comparable
AA-MMMU-ProSource 65.4%Not comparable
Inst. Following
BenchmarkGPT-5.4 nanoLFM2.5-8B-A1BResult
AA-IFBenchSource 75.9%55.6%GPT-5.4 nano leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-5.4 nano or LFM2.5-8B-A1B?

GPT-5.4 nano is ahead on BenchLM's provisional leaderboard, 60 to 37.

Which is better for math, GPT-5.4 nano or LFM2.5-8B-A1B?

LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 21. GPT-5.4 nano stays close enough that the answer can still flip depending on your workload.

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Last updated: July 16, 2026

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