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Model comparison

LFM2.5-8B-A1B vs Ling 2.6 Flash

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.

41.42/100
Margin
2.4pts
winning →
Ling 2.6 Flash
InclusionAI
43.87/100
1 category wins0 category wins

Public leaderboard positions: LFM2.5-8B-A1B #166 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and Ling 2.6 Flash share 12 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to LFM2.5-8B-A1B; 6 to Ling 2.6 Flash.

Updated July 23, 2026
Shared results
12
LFM2.5-8B-A1B only
5
Ling 2.6 Flash only
6
Comparable categories
1 / 8

Pick Ling 2.6 Flash if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if instruction following is the priority or you want the stronger reasoning-first profile.

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

Ling 2.6 Flash has the cleaner BenchAlign overall profile here, landing at 43.87 versus 41.42. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

LFM2.5-8B-A1B is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Ling 2.6 Flash gives you the larger context window at 262K, 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 LFM2.5-8B-A1B and Ling 2.6 Flash
CategoryLFM2.5-8B-A1BΔLing 2.6 Flash
Inst. FollowingLFM2.5-8B-A1B68.8Margin← 11.8Ling 2.6 Flash57.0
CodingLFM2.5-8B-A1BNot measuredMarginNo overlapLing 2.6 Flash27.0
KnowledgeLFM2.5-8B-A1BNot measuredMarginNo overlapLing 2.6 Flash59.0
MathLFM2.5-8B-A1B50.0MarginNo overlapLing 2.6 FlashNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · LFM2.5-8B-A1BB · Ling 2.6 Flash

  1. IFBench

    Inst. Following
    Source ↗
    A 56.5%B 57%
    Winner: Ling 2.6 FlashΔ 0.5
    IFBench: LFM2.5-8B-A1B scored 56.5%; Ling 2.6 Flash scored 57%. Ling 2.6 Flash wins this benchmark.

Operational comparison

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

MetricLFM2.5-8B-A1BLing 2.6 FlashComparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputLing 2.6 FlashNot availableA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableLing 2.6 Flash209.5 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableLing 2.6 Flash1.07 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128KLing 2.6 Flash262KLing 2.6 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
BFCL v4Source 49.7%—Not comparable
τ²-bench resultsSource 16.1%86%Ling 2.6 Flash leads
GDPval-AASource —2.2%Not comparable
GDPval-AASource —545Not comparable
AA Agentic IndexSource —2.3%Not comparable
Coding
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
AA-SciCodeSource 7.8%27.1%Ling 2.6 Flash leads
SciCodeSource —27%Not comparable
AA Coding IndexSource —25.3%Not comparable
Reasoning
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
AA-LCRSource 0.0%25.0%Ling 2.6 Flash leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
AA-GPQA DiamondSource 51.3%59.3%Ling 2.6 Flash leads
AA-HLESource 6.9%6.2%LFM2.5-8B-A1B leads
AA-Omniscience IndexSource -33.3%-65.7%LFM2.5-8B-A1B leads
AA-Omniscience AccuracySource 9.4%15.4%Ling 2.6 Flash leads
AA-Omniscience Hallucination RateSource 47.0%95.8%LFM2.5-8B-A1B leads
Artificial Analysis Intelligence IndexSource 8.3%14.1%Ling 2.6 Flash leads
GPQASource —59%Not comparable
Math
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
MATH-500Source 88.8%—Not comparable
AIME 2025Source 42.5%—Not comparable
AIME26Source 50.0%—Not comparable
Inst. FollowingLFM2.5-8B-A1B wins
BenchmarkLFM2.5-8B-A1BLing 2.6 FlashResult
IFEvalSource 91.8%—Not comparable
IFBenchSource 56.5%57%Ling 2.6 Flash leads
AA-IFBenchSource 55.6%57.4%Ling 2.6 Flash leads
Frequently Asked Questions (2)

Which is better, LFM2.5-8B-A1B or Ling 2.6 Flash?

Ling 2.6 Flash is ahead on BenchLM's BenchAlign leaderboard, 43.87 to 41.42. The biggest single separator in this matchup is IFBench, where the scores are 56.5% and 57%.

Which is better for instruction following, LFM2.5-8B-A1B or Ling 2.6 Flash?

LFM2.5-8B-A1B has the edge for instruction following in this comparison, averaging 68.8 versus 57. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.

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