Model comparison
LFM2.5-230M vs Ling 2.6 Flash
Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: LFM2.5-230M unranked (Not scored); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. LFM2.5-230M and Ling 2.6 Flash share 2 comparable benchmark results. 2 of 8 categories are comparable. 4 results are unique to LFM2.5-230M; 16 to Ling 2.6 Flash.
Updated July 23, 2026- Shared results
- 2
- LFM2.5-230M only
- 4
- Ling 2.6 Flash only
- 16
- Comparable categories
- 2 / 8
Treat this as a split decision. LFM2.5-230M makes more sense if its workflow fits your team better; Ling 2.6 Flash is the better fit if knowledge is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
LFM2.5-230M and Ling 2.6 Flash finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Ling 2.6 Flash gives you the larger context window at 262K, compared with 32K for LFM2.5-230M.
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 | LFM2.5-230M | Δ | Ling 2.6 Flash |
|---|---|---|---|
| Knowledge | LFM2.5-230M21.2 | Margin→ 37.8 | Ling 2.6 Flash59.0 |
| Inst. Following | LFM2.5-230M50.1 | Margin→ 6.9 | Ling 2.6 Flash57.0 |
| Coding | LFM2.5-230MNot measured | MarginNo overlap | Ling 2.6 Flash27.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 25.4%B 59%Winner: Ling 2.6 FlashΔ 33.6GPQA: LFM2.5-230M scored 25.4%; Ling 2.6 Flash scored 59%. Ling 2.6 Flash wins this benchmark. - Source ↗
IFBench
Inst. FollowingA 38.4%B 57%Winner: Ling 2.6 FlashΔ 18.6IFBench: LFM2.5-230M scored 38.4%; 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.
| Metric | LFM2.5-230M | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | LFM2.5-230M$0 input / $0 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | LFM2.5-230MNot available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | LFM2.5-230MNot available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | LFM2.5-230M32K | Ling 2.6 Flash262K | Ling 2.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic5 benchmarks
Coding3 benchmarks
Reasoning2 benchmarks
KnowledgeLing 2.6 Flash wins9 benchmarks
| Benchmark | LFM2.5-230M | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 25.4% | 59% | Ling 2.6 Flash leads |
| GPQA-DSource | 25.4% | — | Not comparable |
| MMLU-ProSource | 20.3% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 14.1% | Not comparable |
| AA-GPQA DiamondSource | — | 59.3% | Not comparable |
| AA-HLESource | — | 6.2% | Not comparable |
| AA-Omniscience IndexSource | — | -65.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 15.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 95.8% | Not comparable |
Frequently Asked Questions (3)
Which is better, LFM2.5-230M or Ling 2.6 Flash?
LFM2.5-230M and Ling 2.6 Flash are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
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 21.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for instruction following, LFM2.5-230M or Ling 2.6 Flash?
Ling 2.6 Flash has the edge for instruction following in this comparison, averaging 57 versus 50.1. Inside this category, IFBench is the benchmark that creates the most daylight between them.
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