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Model comparison

GPT-5.1-Codex 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.

52.62/100
Margin
11.4pts
← winning
41.25/100
0 category wins0 category wins

BenchAlign evidence: GPT-5.1-Codex estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1-Codex and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to GPT-5.1-Codex; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
GPT-5.1-Codex only
5
LFM2.5-8B-A1B only
6
Comparable categories
0 / 8

Benchmark data for GPT-5.1-Codex 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.

GPT-5.1-Codex has 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-5.1-Codex and LFM2.5-8B-A1B
CategoryGPT-5.1-CodexΔLFM2.5-8B-A1B
MathGPT-5.1-CodexNot measuredMarginNo overlapLFM2.5-8B-A1B50.0
Inst. FollowingGPT-5.1-CodexNot measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricGPT-5.1-CodexLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensGPT-5.1-CodexNot availableLFM2.5-8B-A1B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5.1-CodexNot availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-CodexNot availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex400KLFM2.5-8B-A1B128KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
τ²-bench resultsSource 83%16.1%GPT-5.1-Codex leads
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
Vibe Code BenchSource 13.12%Not comparable
Terminal-Bench HardSource 34.8%4.5%GPT-5.1-Codex leads
AA-SciCodeSource 40.2%7.8%GPT-5.1-Codex leads
Reasoning
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
AA-LCRSource 67.3%0.0%GPT-5.1-Codex leads
CritPtSource 5.7%0.0%GPT-5.1-Codex leads
Knowledge
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
Artificial Analysis Intelligence IndexSource 34.7%8.3%GPT-5.1-Codex leads
AA-GPQA DiamondSource 86.0%51.3%GPT-5.1-Codex leads
AA-HLESource 23.4%6.9%GPT-5.1-Codex leads
AA-Omniscience IndexSource -6.0%-33.3%GPT-5.1-Codex leads
AA-Omniscience AccuracySource 39.2%9.4%GPT-5.1-Codex leads
AA-Omniscience Hallucination RateSource 74.4%47.0%LFM2.5-8B-A1B leads
Math
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1195Not comparable
Inst. Following
BenchmarkGPT-5.1-CodexLFM2.5-8B-A1BResult
AA-IFBenchSource 70.0%55.6%GPT-5.1-Codex leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.1-Codex 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-5.1-Codex and LFM2.5-8B-A1B today?

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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