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xAI will add an invisible watermark to Grok API text by default from Nov 7, covering grok-4.7 and six other models, with per-model admin opt-out

On Oct 31, xAI (signed as SpaceXSI in its docs) added an "Output Watermarking" page to its API docs: starting November 7, 2026, text generated by grok-4.7, grok-4.6, grok-4.5, grok-4.3, and the reasoning, non-reasoning, and multi-agent versions of grok-4.20 will carry an invisible watermark by default, to comply with the EU AI Act. It covers ordinary text, structured outputs, and tool call arguments on both the Responses and Chat Completions APIs, and works by slightly shaping token choice without adding any characters. Developers can read the x-watermark response header to check; team admins can opt out per model in the Console, but must confirm a legal exception applies, and some models may be locked on.

Key Takeaways

  • Timing: on by default from November 7, 2026, with no code change and no request parameter (xAI docs)
  • Scope: 7 model IDs (grok-4.7, 4.6, 4.5, 4.3, and grok-4.20 reasoning, non-reasoning, and multi-agent) on the global and regional endpoints, across both Responses and Chat Completions
  • Coverage: ordinary text, structured outputs, and tool call arguments; the response header x-watermark: true marks a watermarked output
  • Opt-out: team admins switch it off per model, effective for new requests within 5 minutes and logged in the audit log; admins must confirm a legal exception applies, and some models are locked on
  • xAI's position: no effect on quality or speed; detection is statistical with three outcomes (watermarked, not watermarked, uncertain), and the detection API is by application
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Command Code FlappyBench: Muse Spark 1.3 and Grok-4.6 score 9/10, Muse costs least

Command Code ran FlappyBench with the same /design prompt across Muse Spark 1.3, Grok-4.6, and Gemini 3.8 Flash. Muse and Grok both scored 9/10, while Muse cost only $0.072; Gemini scored 7/10, cost $0.205, and did not fully finish.

Key Takeaways

  • Muse Spark 1.3: 9/10 at $0.072, completing the UI in two iterations at the lowest cost.
  • Grok-4.6: 9/10 at $0.095, matching Muse output quality, though the post describes it as roughly twice the cost.
  • Gemini 3.8 Flash: 7/10 at $0.205, the highest cost of the three and not fully finished.
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Linked Models & Agents:

LMArena: Fable 5.1 quality-vs-price head-to-head vs Opus 5, GPT-5.6 and more

Arena.ai (@arena) highlights @petergostev’s head-to-head: Anthropic Claude Fable 5.1 vs Fable 5, Opus 5, GPT-5.6, Kimi K3, GLM 5.3, Qwen-3.8, Grok-4.6, and DeepSeek across coding, 3D, SVG, research, and data-viz—with generation costs from cents to $65+—so developers can weigh quality vs price.

Key Takeaways

  • Arena frames a quality-vs-price bake-off of Fable 5.1 against frontier peers.
  • Peers include Opus 5, GPT-5.6, Kimi K3, GLM 5.3, Qwen-3.8, Grok-4.6, and DeepSeek.
  • Per-generation costs span cents to $65+, useful for model selection and budgeting.
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