Juspay’s post-trained Qwen3.6-35B-A3B for typed decisions, first published as JevOne. The current release, Xor 1.1, accepts text, images or video, answers Choice, Score and Noul questions with up to 255 options, and runs on one GPU behind a TypeSafe-compatible API.
A solid 35.11B-parameter MoE decision model from Juspay. Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Newly released, so production-readiness is still being shaken out.
Generated from this model’s benchmarks and ranking signals. Editor reviews refine it over time.
Access model weights, configuration files, and documentation.
No benchmark data available for this model yet.
The top devices for this model at 4-bit, ranked by fit and speed.
| Device | Grade | VRAM |
|---|---|---|
| ACEMAGIC M1A Pro (i9-13900HK + ARC A770)ACEMAGIC | SS | 2.3 GB |
| Acer Veriton GN100 AI MiniAcer | SS | 2.3 GB |
| AMD Instinct MI300XAMD | SS | 2.3 GB |
| AMD Instinct MI325XAMD | SS | 2.3 GB |
| AMD Instinct MI355XAMD | SS | 2.3 GB |

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NVIDIA GeForce RTX 4060Vast.ai · Spot · 8 GB VRAM | $0.03 |
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NVIDIA GeForce RTX 3070Vast.ai · Spot · 8 GB VRAM | $0.05 |
NVIDIA GeForce RTX 3060Vast.ai · Spot · 12 GB VRAM | $0.05 |
NVIDIA GeForce RTX 4060 TiVast.ai · Spot · 8 GB VRAM | $0.05 |
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