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Model comparison

Kimi K2.5 (Reasoning) vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.06/100
Margin
17.8pts
← winning
41.25/100
0 category wins0 category wins

BenchAlign evidence: Kimi K2.5 (Reasoning) estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.5 (Reasoning) and LFM2.5-8B-A1B share 13 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to Kimi K2.5 (Reasoning); 5 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
13
Kimi K2.5 (Reasoning) only
15
LFM2.5-8B-A1B only
5
Comparable categories
0 / 8

Benchmark data for Kimi K2.5 (Reasoning) and LFM2.5-8B-A1B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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.

Kimi K2.5 (Reasoning) is priced at $0.60 input / $3.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens 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 Kimi K2.5 (Reasoning) and LFM2.5-8B-A1B
CategoryKimi K2.5 (Reasoning)ΔLFM2.5-8B-A1B
AgenticKimi K2.5 (Reasoning)55.0MarginNo overlapLFM2.5-8B-A1BNot measured
CodingKimi K2.5 (Reasoning)76.8MarginNo overlapLFM2.5-8B-A1BNot measured
KnowledgeKimi K2.5 (Reasoning)87.2MarginNo overlapLFM2.5-8B-A1BNot measured
MathKimi K2.5 (Reasoning)Not measuredMarginNo overlapLFM2.5-8B-A1B50.0
MultimodalKimi K2.5 (Reasoning)78.5MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingKimi K2.5 (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.

MetricKimi K2.5 (Reasoning)LFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensKimi K2.5 (Reasoning)$0.6 input / $3 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondKimi K2.5 (Reasoning)Not availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.5 (Reasoning)Not availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.5 (Reasoning)128KLFM2.5-8B-A1B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
Terminal-Bench 2.0Source 50.8%Not comparable
BrowseCompSource 60.6%Not comparable
APEX-Agents-AASource 11.5%Not comparable
τ²-bench resultsSource 95.9%16.1%Kimi K2.5 (Reasoning) leads
Gert LabsSource 32.58%Not comparable
AA Agentic IndexSource 21.7%Not comparable
GDPval-AASource 25.4%Not comparable
GDPval-AASource 1009Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
SWE-bench VerifiedSource 76.8%Not comparable
Vibe Code BenchSource 17.54%Not comparable
Terminal-Bench HardSource 34.8%4.5%Kimi K2.5 (Reasoning) leads
AA-SciCodeSource 49.0%7.8%Kimi K2.5 (Reasoning) leads
AA Coding IndexSource 46.8%Not comparable
Reasoning
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
AA-LCRSource 65.3%0.0%Kimi K2.5 (Reasoning) leads
CritPtSource 3.1%0.0%Kimi K2.5 (Reasoning) leads
Knowledge
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
GPQASource 87.6%Not comparable
MMLU-ProSource 87.1%Not comparable
Artificial Analysis Intelligence IndexSource 35.4%8.3%Kimi K2.5 (Reasoning) leads
AA-GPQA DiamondSource 87.9%51.3%Kimi K2.5 (Reasoning) leads
AA-HLESource 29.4%6.9%Kimi K2.5 (Reasoning) leads
AA-Omniscience IndexSource -8.1%-33.3%Kimi K2.5 (Reasoning) leads
AA-Omniscience AccuracySource 34.3%9.4%Kimi K2.5 (Reasoning) leads
AA-Omniscience Hallucination RateSource 64.6%47.0%LFM2.5-8B-A1B leads
Math
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
AIME 2025Source 96.1%42.5%Kimi K2.5 (Reasoning) leads
MATH-500Source 88.8%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
MMMU-ProSource 78.5%Not comparable
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 1284Not comparable
Inst. Following
BenchmarkKimi K2.5 (Reasoning)LFM2.5-8B-A1BResult
AA-IFBenchSource 70.2%55.6%Kimi K2.5 (Reasoning) leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare Kimi K2.5 (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 Kimi K2.5 (Reasoning) and LFM2.5-8B-A1B today?

Kimi K2.5 (Reasoning): $0.60 input / $3.00 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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