Model comparison
K-Exaone vs LFM2.5-VL-1.6B-Extract
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: K-Exaone #126 (Estimated); LFM2.5-VL-1.6B-Extract unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. K-Exaone and LFM2.5-VL-1.6B-Extract share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to K-Exaone; 4 to LFM2.5-VL-1.6B-Extract.
Updated July 23, 2026- Shared results
- 11
- K-Exaone only
- 0
- LFM2.5-VL-1.6B-Extract only
- 4
- Comparable categories
- 0 / 8
Benchmark data for K-Exaone and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 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.
K-Exaone has the larger context window at 256K, compared with 128K for LFM2.5-VL-1.6B-Extract.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | K-Exaone | LFM2.5-VL-1.6B-Extract | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | K-ExaoneNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete price comparison is not available. |
| Generation speedtokens per second | K-ExaoneNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | K-ExaoneNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | K-Exaone256K | LFM2.5-VL-1.6B-Extract128K | K-Exaone lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | K-Exaone | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74.3% | 8.5% | K-Exaone leads |
Coding1 benchmarks
| Benchmark | K-Exaone | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-SciCodeSource | 35.6% | 3.0% | K-Exaone leads |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | K-Exaone | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 24.7% | 1.0% | K-Exaone leads |
| AA-GPQA DiamondSource | 78.3% | 28.9% | K-Exaone leads |
| AA-HLESource | 13.1% | 5.1% | K-Exaone leads |
| AA-Omniscience IndexSource | -57.9% | -83.9% | K-Exaone leads |
| AA-Omniscience AccuracySource | 16.5% | 5.2% | K-Exaone leads |
| AA-Omniscience Hallucination RateSource | 89.1% | 94.0% | K-Exaone leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | K-Exaone | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| AA-IFBenchSource | 64.7% | 33.1% | K-Exaone leads |
Frequently Asked Questions (2)
Can I compare K-Exaone and LFM2.5-VL-1.6B-Extract 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.
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