Model comparison
Interfaze Beta vs LFM2.5-VL-1.6B-Extract
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Evidence parity. Interfaze Beta and LFM2.5-VL-1.6B-Extract share 0 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Interfaze Beta; 15 to LFM2.5-VL-1.6B-Extract.
Updated July 23, 2026- Shared results
- 0
- Interfaze Beta only
- 10
- LFM2.5-VL-1.6B-Extract only
- 15
- Comparable categories
- 0 / 8
Benchmark data for Interfaze Beta and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
Interfaze Beta has the larger context window at 1M, compared with 128K for LFM2.5-VL-1.6B-Extract.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Interfaze Beta | LFM2.5-VL-1.6B-Extract | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Interfaze Beta$1.5 input / $3.5 output | LFM2.5-VL-1.6B-ExtractNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Interfaze BetaNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Interfaze BetaNot available | LFM2.5-VL-1.6B-ExtractNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Interfaze Beta1M | LFM2.5-VL-1.6B-Extract128K | Interfaze Beta lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Interfaze Beta | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 8.5% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Interfaze Beta | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| GPQA-DSource | 89.9% | — | Not comparable |
| MMMLUSource | 90.9% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 1.0% | Not comparable |
| AA-GPQA DiamondSource | — | 28.9% | Not comparable |
| AA-HLESource | — | 5.1% | Not comparable |
| AA-Omniscience IndexSource | — | -83.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 5.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 94.0% | Not comparable |
Multimodal9 benchmarks
| Benchmark | Interfaze Beta | LFM2.5-VL-1.6B-Extract | Result |
|---|---|---|---|
| OCRBench V2Source | 70.7% | — | Not comparable |
| olmOCRSource | 85.7% | — | Not comparable |
| RefCOCO (avg)Source | 82.1% | — | Not comparable |
| VoxPopuli WERSource | 2.4% | — | Not comparable |
| MMMU-ProSource | 71.1% | — | Not comparable |
| Liquid Extract JSON ValiditySource | — | 99.6% | Not comparable |
| Liquid Extract F1Source | — | 99.6% | Not comparable |
| Liquid Extract VLM JudgeSource | — | 90.6% | Not comparable |
| AA-MMMU-ProSource | — | 26.5% | Not comparable |
Frequently Asked Questions (3)
Can I compare Interfaze Beta 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.
What data is available for Interfaze Beta and LFM2.5-VL-1.6B-Extract today?
Interfaze Beta: $1.50 input / $3.50 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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