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LFM2.5-230M vs Ling 2.6 Flash

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

LFM2.5-230M

17

VS

Ling 2.6 Flash

36

1 categoriesvs1 categories

Pick Ling 2.6 Flash if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if instruction following is the priority.

Category Radar

Head-to-Head by Category

Category Breakdown

Knowledge

Ling 2.6 Flash
20.3vs59

+38.7 difference

Inst. Following

LFM2.5-230M
71.7vs57

+14.7 difference

Operational Comparison

LFM2.5-230M

Ling 2.6 Flash

Price (per 1M tokens)

$0 / $0

$null / $null

Speed

N/A

209.5 t/s

Latency (first answer)

N/A

1.07s

Context Window

32K

262K

Quick Verdict

Pick Ling 2.6 Flash if you want the stronger benchmark profile. LFM2.5-230M only becomes the better choice if instruction following is the priority.

Ling 2.6 Flash is clearly ahead on the provisional aggregate, 36 to 17. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Ling 2.6 Flash's sharpest advantage is in knowledge, where it averages 59 against 20.3. LFM2.5-230M does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.

Ling 2.6 Flash gives you the larger context window at 262K, compared with 32K for LFM2.5-230M.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, LFM2.5-230M or Ling 2.6 Flash?

Ling 2.6 Flash is ahead on BenchLM's provisional leaderboard, 36 to 17.

Which is better for knowledge tasks, LFM2.5-230M or Ling 2.6 Flash?

Ling 2.6 Flash has the edge for knowledge tasks in this comparison, averaging 59 versus 20.3. LFM2.5-230M stays close enough that the answer can still flip depending on your workload.

Which is better for instruction following, LFM2.5-230M or Ling 2.6 Flash?

LFM2.5-230M has the edge for instruction following in this comparison, averaging 71.7 versus 57. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.

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Last updated: June 29, 2026

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