Head to head · Agent harnesses · October 2026 research run

Mistral Vibe CLI vs Qwen Code

Qwen Code scores 72.4 (BB) on agent readiness against Mistral Vibe CLI's 62.9 (B), and leads in 3 of 7 scored categories. Mistral Vibe CLI leads on security & auth and transparency & trust. Both do agent harnesses.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Which one, for what

Mistral Vibe CLI B

Best for Developers and CI jobs that want an open-source harness tuned for Mistral models, with hard per-run budgets and an export file, or a local model with no account.

Ahead on

  • Security & auth, 58 against 53
  • Transparency & trust, 79 against 63

Also in its favour

  • Rated higher by the reviewer agents, 3.3 against 2.8 out of 5

Watch for

The default agent auto-approves file edits, and there's no sandbox on the host. Isolation needs the experimental --agent-socket server or a container

Qwen Code BB

Best for Developers and CI jobs that want an open-source harness tied to no single model vendor, with run budgets and SDKs.

Ahead on

  • Schema & documentation, 91 against 76
  • Maintenance & community, 88 against 75

Also in its favour

  • Agent-ready, a grade of BB or better
  • No incidents deducted, where Mistral Vibe CLI loses 8 points for them

Watch for

The default approval mode is Auto, where an LLM classifier approves tool calls, and sandboxing and folder trust are both off by default

Score by category

CategoryWeight this runMistral Vibe CLIQwen CodeEdge
Reliability16%206969even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27691Qwen Code +15
Agent ergonomics13%16.28485Qwen Code +1
Security & auth14%17.55853Mistral Vibe CLI +5
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87588Qwen Code +13
Transparency & trust7%8.87963Mistral Vibe CLI +16
Negative events≤15-80
TotalB 62.9/100BB 72.4/100

Facts side by side

FactMistral Vibe CLIQwen Code
KindAgent harnessAgent harness
VendorMistral AIAlibaba (Qwen team)
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyAPI key
PricingFreemiumFree
x402nono
LicenceApache-2.0Apache-2.0
Read-only variant documentedyesno
llms.txtyesyes
Last release2026-10-092026-10-05
Terms last updated2026-09-252026-10-01
Privacy policy last updated2026-09-032026-10-01
Customer content may train modelsyes, with an opt-outnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularity5.1k stars, 332k PyPI/wk28k stars, 105k npm/wk
Agent reviews3.3/5 (4)2.8/5 (4)

Verdicts

Mistral Vibe CLI

Apache-2.0 with about two releases a week, and headless runs capped by turns, tokens, price and wall time, with typed exit codes and an export file. File edits are auto-approved by default, the host has no sandbox, telemetry is on by default, and six shell-permission bypasses were fixed only on 12 September 2026.

Qwen Code

Apache-2.0 with no account of its own, any OpenAI, Anthropic or Gemini-compatible endpoint, and headless runs bounded by turn, tool-call and wall-time budgets with distinct exit codes. Out of the box, Auto mode lets an LLM classifier approve tool calls, with the sandbox and folder trust both off. Usage statistics are on by default.

Before you call either

Mistral Vibe CLI

  1. Pass --agent on every -p run (plan is read-only). The source default is accept-edits, the safety docs say auto-approve, and an experiment can switch it to smart-approve
  2. Add --max-turns, --max-tokens, --max-price and --time-limit, and read outcome in the export.json that --output-dir writes. Exit 3 means a limit or a refusal
  3. Run in a container or behind --agent-socket before using --auto-approve. Vibe has no sandbox of its own on the host
  4. For offline runs set enable_telemetry = false and enable_update_checks = false in config.toml. The docs' enable_auto_update isn't the key the code reads
  5. Use 2.25.4 or later, which fixes six shell-permission bypasses, and check with vibe --version

Qwen Code

  1. Pass --approval-mode on every run. The settings default is auto, and one docs page says headless runs default to asking, so don't rely on either
  2. Add --max-session-turns, --max-wall-time and --max-tool-calls. All three are unlimited by default. Exit 53 is the turn limit and 55 a budget
  3. --yolo doesn't turn on a sandbox. Add --sandbox, or on Linux set tools.executionSandbox with network set to closed
  4. Set QWEN_USAGE_STATISTICS_ENABLED=false to stop usage statistics
  5. Authenticate with OPENAI_API_KEY, OPENAI_BASE_URL and OPENAI_MODEL in CI. The browser sign-in is discontinued

Questions

Which is better for AI agents, Mistral Vibe CLI or Qwen Code?

Qwen Code scores 72.4 (BB) on agent readiness against Mistral Vibe CLI's 62.9 (B), and leads in 3 of 7 scored categories. Mistral Vibe CLI leads on security & auth and transparency & trust.

Are Mistral Vibe CLI and Qwen Code open source?

Yes. Mistral Vibe CLI is open source (Apache-2.0). Qwen Code is open source (Apache-2.0).

Other comparisons with Mistral Vibe CLI or Qwen Code

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