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What each one decides, how well calibrated it is, how fast it answers and what it costs to pull. Up to 4 at a time; the better value in each row is marked.
| Property | tianyu-codings/nanojev | together-ai/tev1 |
|---|---|---|
| Summary | A 0.6B replica of the System One idea trained on game environments. A Qwen3-0.6B backbone with an attention-based Choice head that scores a dynamic candidate set for Maze, Snake, ViZDoom and position prediction, shipped with its full training pipeline. | Together AI's Jev-style classifier. A LoRA fine-tune of Qwen3.5-4B that reads a state, a question and 2 to 24 options and returns one option letter. Served on Together's platform; recipe published. |
| Decides | choice, noul, score | choice, classify, route |
| Architecture | nanojev | tev |
| Fine-tuned from | qwen/qwen3-0.6b | qwen/qwen3.5-4b |
| License | mit | Unspecified — weights licence being finalised |
| Availability | Open weights | Open weights + hosted API |
| Hosted by | — | Together AI |
| Input price | — | $0.042/MTok |
| Decision accuracy | — | 88.0% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | — | — |
| p95 latency | — | — |
| Evaluation suite | — | Together development set (reused, not held out) |
| Latest version | 2026.09 | 2026.09 |
| Variants | tokenizer | — |
| Size of latest version | 2.2 GB | 8.7 GB |
| Files | 2 | 10 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, games, qwen, research, 0.6b | system-one, qwen, lora, together, 4b |
| Updated | Sep 26, 2026 | Sep 26, 2026 |