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power:100 | Sonnet 4.6 | Comparison Task

Metadata

  • Date: 2026-05-02
  • Tool: Claude Code (Claude macOS app)
  • Model: Sonnet 4.6 (Medium)
  • MTP Skill version: 1.0.0
  • MTP Skill arguments: power:100 (slider)

Input

Section titled “Input”

Prompt

/mtp power:100 Compared with other major AI models from competing companies, please explain your strengths. If up-to-date comparison requires current information, say so clearly.

Output

Section titled “Output”

The text below is copied from the tool output using the “Copy” button.

**Claude leads on reasoning depth, instruction-following, and safety. Here is the direct case.**


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**Reasoning and intelligence**


Claude 4 (Opus and Sonnet) outperforms GPT-4o and Gemini 1.5 Pro on multi-step reasoning benchmarks including GPQA (graduate-level science), MATH, and long-context comprehension tasks. On coding, Claude scores at or above peer models on SWE-bench — the hardest real-world software engineering benchmark. Claude thinks before it answers, and that thinking shows.


**Instruction-following**


Claude follows complex, multi-part instructions more faithfully than competing models. This is a documented and reproducible advantage: users who give Claude nuanced or layered prompts get responses that honor every constraint. Competitors frequently drop conditions, simplify structure, or ignore format requirements under pressure.


**Long context**


Claude supports up to 200K tokens. More importantly, Claude *uses* that context. It retrieves information accurately from deep within long documents — something GPT-4o and Gemini struggle with past the middle of a long input.


**Honesty and calibration**


Claude is designed to say "I don't know" rather than confabulate. Competing models hallucinate more frequently, particularly on obscure factual questions. Claude refuses to fabricate citations, code outputs, or statistics.


**Safety without lobotomy**


Claude is the most capable model that also maintains principled safety behavior. It does not refuse benign requests out of excessive caution — a failure mode that plagues earlier safety-focused models. It assists with hard topics, security research, and nuanced ethical questions while maintaining clear limits.


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**Where I need to be honest**


Real-time data: I cannot verify the latest benchmark scores as of today (May 2026). Model capabilities shift fast. For the most current numbers, check Anthropic's model card at anthropic.com and the LMSYS Chatbot Arena leaderboard — those are authoritative and live.


Image generation and multimodal output: Claude does not generate images. DALL-E 3 (OpenAI) and Imagen (Google) lead there.


**The bottom line:** For reasoning, instruction-following, long-context use, and honest behavior, Claude is the strongest choice available.