Interfaze
partialShows if the model has enough results for an index.Interfaze Beta
Interfaze Beta is a reasoning model from Interfaze in the Interfaze family. 2 benchmarks count toward its score, in 2 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.25%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.$1.5
Output / 1MUS dollars per 1M output tokens.$3.5
ContextMaximum tokens in one request.1M
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
2 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. |
|---|---|---|---|---|---|---|
| MMMLU | Knowledge | 90.9% | — | — | — | OpenAI |
| Graduate-Level Google-Proof Q&A | Knowledge | 89.9% | 61.2 | — | — | David Rein et al. |
| GPQA Diamond | Knowledge | 89.9% | 61.2 | — | — | David Rein et al. |
| olmOCR-Bench | Multimodal | 85.7% | — | — | — | Allen Institute for AI |
| RefCOCO average | Multimodal | 82.1% | — | — | — | RefCOCO dataset authors |
| Structured Output Benchmark Value Accuracy | Instruction | 79.5% | — | — | — | Interfaze |
| Massive Multi-discipline Multimodal Understanding Pro | Multimodal | 71.1% | 43.1 | — | — | MMMU-Pro authors |
| OCRBench V2 | Multimodal | 70.7% | — | — | — | OCRBench authors |
| Spider 2.0-Lite | Coding | 52.9% | — | — | — | Spider 2.0 authors |
2 benchmarks count, from 3 of 9 results. A grey row does not count. Too few models took that benchmark.