Mistral Vibe vs Qwen Code
Both are Grade A and 3.0 points apart, so choose on what you weigh most. Qwen Code leads on maintenance and adoption, and rests on broader evidence.
Minimal CLI coding agent by Mistral
Mistral Vibe doesn't lead on any scored dimension in this pair.
An open-source AI coding agent that lives in your terminal.
Choose Qwen Code if maintenance and adoption matter most.
- +3.9Maintenance: last push today, against 1d ago
- +1.3Adoption: 28.9k GitHub stars against 5.3k
- +0.7Safety / Integrity: 100% of recent commits signed, against 80%
- A vs BEvidence coverage: 4 of 5 independent signal types, against 3
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of Mistral Vibe and Qwen Code, two Coding Agents projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Mistral Vibemistralai/mistral-vibe | Qwen CodeQwenLM/qwen-code |
|---|---|---|
| HVTrust score | 85.6 | 88.6 |
| Evidence grade | A | A |
| Coverage grade | B | A |
| Overall rank | #90 | #53 |
| Rank in Coding Agents | #6 | #4 |
| GitHub stars | 5.3k | 28.9k |
| Last updated | 1d ago | today |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 5.6 / 10 | 5.4 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 319k/wk | 145k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 18.5 | 19.2 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.3 | 13.1 |
| Maintenance / 20 | 16.1 | 20.0 |
| Adoption / 20 | 16.3 | 17.6 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 1 — Mistral AI | 3 — Anthropic, Google Gemini, OpenAI |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | extensions |
| Provenance drift | Match | Match |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →