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Model comparison

DeepSeek V3.1 (Reasoning) 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.

53.31/100
Margin
12.1pts
← winning
41.25/100
0 category wins0 category wins

BenchAlign evidence: DeepSeek V3.1 (Reasoning) supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 (Reasoning) and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1 (Reasoning); 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
DeepSeek V3.1 (Reasoning) only
1
LFM2.5-8B-A1B only
6
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 (Reasoning) 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 DeepSeek V3.1 (Reasoning) and LFM2.5-8B-A1B
CategoryDeepSeek V3.1 (Reasoning)ΔLFM2.5-8B-A1B
MathDeepSeek V3.1 (Reasoning)Not measuredMarginNo overlapLFM2.5-8B-A1B50.0
Inst. FollowingDeepSeek V3.1 (Reasoning)Not measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensDeepSeek V3.1 (Reasoning)$0 input / $0 outputLFM2.5-8B-A1B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondDeepSeek V3.1 (Reasoning)Not availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1 (Reasoning)Not availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1 (Reasoning)128KLFM2.5-8B-A1B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
τ²-bench resultsSource 37.4%16.1%DeepSeek V3.1 (Reasoning) leads
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
Terminal-Bench HardSource 25.0%4.5%DeepSeek V3.1 (Reasoning) leads
AA-SciCodeSource 39.1%7.8%DeepSeek V3.1 (Reasoning) leads
Reasoning
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
AA-LCRSource 53.3%0.0%DeepSeek V3.1 (Reasoning) leads
CritPtSource 2.0%0.0%DeepSeek V3.1 (Reasoning) leads
Knowledge
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
Artificial Analysis Intelligence IndexSource 20.7%8.3%DeepSeek V3.1 (Reasoning) leads
AA-GPQA DiamondSource 77.9%51.3%DeepSeek V3.1 (Reasoning) leads
AA-HLESource 13.0%6.9%DeepSeek V3.1 (Reasoning) leads
AA-Omniscience IndexSource -28.4%-33.3%DeepSeek V3.1 (Reasoning) leads
AA-Omniscience AccuracySource 28.8%9.4%DeepSeek V3.1 (Reasoning) leads
AA-Omniscience Hallucination RateSource 80.3%47.0%LFM2.5-8B-A1B leads
Math
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
Design Arena WebsiteSource 1157Not comparable
Inst. Following
BenchmarkDeepSeek V3.1 (Reasoning)LFM2.5-8B-A1BResult
AA-IFBenchSource 41.5%55.6%LFM2.5-8B-A1B leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 (Reasoning) 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 DeepSeek V3.1 (Reasoning) and LFM2.5-8B-A1B today?

DeepSeek V3.1 (Reasoning): $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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