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Model comparison

GPT-OSS 20B 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.

42.63/100
Margin
1.4pts
← winning
41.25/100
0 category wins0 category wins

BenchAlign evidence: GPT-OSS 20B supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-OSS 20B and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to GPT-OSS 20B; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
GPT-OSS 20B only
7
LFM2.5-8B-A1B only
6
Comparable categories
0 / 8

Benchmark data for GPT-OSS 20B and LFM2.5-8B-A1B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.

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-OSS 20B and LFM2.5-8B-A1B
CategoryGPT-OSS 20BΔLFM2.5-8B-A1B
MathGPT-OSS 20BNot measuredMarginNo overlapLFM2.5-8B-A1B50.0
Inst. FollowingGPT-OSS 20BNot measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricGPT-OSS 20BLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensGPT-OSS 20B$0 input / $0 outputLFM2.5-8B-A1B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGPT-OSS 20B313 tok/sLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-OSS 20B0.65 sLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-OSS 20B128KLFM2.5-8B-A1B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
AA Agentic IndexSource 3.1%Not comparable
APEX-Agents-AASource 0.7%Not comparable
τ²-bench resultsSource 60.2%16.1%GPT-OSS 20B leads
GDPval-AASource 3.0%Not comparable
GDPval-AASource 559Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
React Native EvalsSource 71%Not comparable
AA Coding IndexSource 20.7%Not comparable
Terminal-Bench HardSource 10.6%4.5%GPT-OSS 20B leads
AA-SciCodeSource 34.4%7.8%GPT-OSS 20B leads
Reasoning
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
AA-LCRSource 30.7%0.0%GPT-OSS 20B leads
CritPtSource 1.4%0.0%GPT-OSS 20B leads
Knowledge
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
Artificial Analysis Intelligence IndexSource 14.9%8.3%GPT-OSS 20B leads
AA-GPQA DiamondSource 68.8%51.3%GPT-OSS 20B leads
AA-HLESource 9.8%6.9%GPT-OSS 20B leads
AA-Omniscience IndexSource -63.9%-33.3%LFM2.5-8B-A1B leads
AA-Omniscience AccuracySource 15.5%9.4%GPT-OSS 20B leads
AA-Omniscience Hallucination RateSource 94.1%47.0%LFM2.5-8B-A1B leads
Math
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
Design Arena WebsiteSource 887Not comparable
Inst. Following
BenchmarkGPT-OSS 20BLFM2.5-8B-A1BResult
AA-IFBenchSource 65.1%55.6%GPT-OSS 20B leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-OSS 20B and LFM2.5-8B-A1B 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-OSS 20B and LFM2.5-8B-A1B today?

GPT-OSS 20B: $0.00 input / $0.00 output per 1M tokens LFM2.5-8B-A1B: $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 16, 2026

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