LiquidAI
availableShows if the model has enough results for an index.LFM2.5-VL-1.6B-Extract
LFM2.5-VL-1.6B-Extract is a non-reasoning model from LiquidAI in the LFM2.5-VL Extract family. 9 benchmarks count toward its score, in 5 categories.
IndexOverall score out of 100.19.4 ±8.9
CoverageShare of the index weight with results.65%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.128K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
9 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Liquid image-to-JSON extraction JSON validity | Multimodal | 99.6% | — | — | — | Liquid AI |
| Liquid image-to-JSON extraction schema consistency F1 | Multimodal | 99.6% | — | — | — | Liquid AI |
| Liquid image-to-JSON extraction VLM judge score | Multimodal | 90.6% | — | — | — | Liquid AI |
| Artificial Analysis IFBench | Instruction | 33.1% | 22.7 | — | — | Artificial Analysis |
| Artificial Analysis GPQA Diamond | Knowledge | 28.9% | 5.0 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 26.5% | 5.0 | — | — | Artificial Analysis |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 8.5% | 5.0 | — | — | Victor Barres et al. |
| Artificial Analysis Omniscience Accuracy | Knowledge | 5.8% | 21.0 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 5.1% | 30.1 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 4.8% | 28.4 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 0.0% | 8.3 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.0% | 38.4 | — | — | Artificial Analysis |
9 benchmarks count, from 9 of 12 results. A grey row does not count. Too few models took that benchmark.