Quyet-1.0-Medium

Released
2026-10-03
Last refreshed
2026-10-05
Status
Researched 1d ago
Open sourceCommercial use: permittedAgentsClassificationJSON / Tool useAgent

Quyet-1.0-Medium is available now for agents, classification, and json / tool use with open-source; evaluate it while provider pricing coverage matures.

Chinh Nguyen releases · 2 in the last 12 monthsChangelog →
Specifications
Family
Quyet
Released
2026-10-03
Context
8k
Parameters
4.66B
Openness
Open source
License
Apache 2.0OSI-approvedCommercial use: permitted
Weights
Available
Code
Unknown
Training
Fine-tuned
Pricing

No tracked provider token pricing is available yet.

About

Quyet-1.0-Medium is the mid-size model in Chinh Nguyen's Quyet 1.0 family of calibrated decision models, built on Qwen3.5-4B. Given a state (text, JSON, or a conversation) and typed questions (choice, score, or true/false 'noul'), it picks one option per question and returns calibrated probabilities. It reads the next-token probabilities of option letters after a fixed prompt, with per-type temperatures in quyet_config.json.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

Structured Outputs

Benchmark peer barsfor Agents

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
JevBench43.6v1.6.0Observed 2026-10-04—Source

Migration checks

No linked migration route is available for this model yet.

API versions

chinhnc/Quyet-1.0-MediumQuyet-1.0-Mediumquyet-1-0-mediumquyet 1.0.0