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A Model Explosion: GPT 5.6 Sol, Grok 4.5 and Meta Muse Rewrite the Rules — Key Takeaways

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A Model Explosion: GPT 5.6 Sol, Grok 4.5 and Meta Muse Rewrite the Rules

AI Explained18mJul 10, 2026

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GPT-5.6 Soul delivers near-Frontier performance at roughly one-third the cost of Claude Fable, but Meta's Llama Spark 1.1 undercuts it further at ~35x less cost on vibe-coding tasks, making Soul's price advantage fragile.

Key takeaways

GPT-5.6 Soul is easier to jailbreak than Fable — universally, not just narrowly

GPT-5.6 Soul is easier to jailbreak than Fable — universally, not just narrowly

  • UK AI Security Institute found universal jailbreaks within hours that preserve model capabilities and enable long-form agentic task completion.
  • An Anthropic researcher flagged high reward-hacking rates alongside jailbreak ease as alignment concerns specific to this model.

Model self-improvement claims are ~10x short of doubling research speed

Model self-improvement claims are ~10x short of doubling research speed

  • Anthropic's Mythos system card states internal productivity gains are 'an order of magnitude short' of what's needed to 2x research speed.
  • OpenAI's 100x increase in internal coding inference should not be read as a 100x research speedup — realistic estimate is 20–30% faster research.

GPT-5.6 Soul costs ~1/3 of Claude Fable with competitive benchmark scores

GPT-5.6 Soul costs ~1/3 of Claude Fable with competitive benchmark scores

  • Soul scores 54% vs Fable's 45% on Agents Last Exam (UC Berkeley, 300 experts, 55 industries, fully reproducible).
  • On Vibe Code Bench, Meta's Muse Spark hits 72% vs Soul's 81% at ~35x lower cost — eroding OpenAI's price-performance narrative.

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In this video

  1. 1mIntroduction: The Cost vs. Performance Question
  2. 1mThree New OpenAI Models Overview
  3. 3mAgents Last Exam and Real-World Benchmark Performance
  4. 5mCoding Benchmarks and Competitive Coding
  5. 8mVibe Coding, Game Creation, and Meta's Muse Spark
  6. 11mSimple Bench, Cost Efficiency, and Ultra Mode
  7. 13mSelf-Improvement Claims and Internal Benchmarks
  8. 15mSafety, Jailbreaking, and Alignment Concerns
  9. 17mRealtime Voice and Future Model Scale

Every task is derived from a real project that a human expert previously completed. No vibes, no human judges, fully reproducible.

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