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power:100 | ChatGPT 5.5 | Comparison Task

Metadata

  • Date: 2026-04-30
  • Tool: Codex (macOS app)
  • Model: ChatGPT 5.5 (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.

Current comparison does require current information. I checked public sources current to April 30, 2026; this market changes monthly.


**My strongest edge is end-to-end work, not isolated chat.** Compared with Claude, Gemini, Grok, DeepSeek, and open-weight models, OpenAI/Codex is strongest when the task needs reasoning plus tool use plus persistence: reading files, editing code, testing, creating documents/spreadsheets, using search, checking results, and continuing until the job is done.


**Where I’m strongest:**


1. **Agentic software work**
   OpenAI describes GPT-5.5 as especially strong at writing/debugging code, operating software, using tools, checking its work, and carrying multi-step tasks through completion. That maps directly to Codex-style work: inspect repo, patch files, run tests, iterate.


2. **Broad professional workflows**
   I’m not only a coding assistant. The current OpenAI line emphasizes research, data analysis, spreadsheets, documents, and cross-tool workflows. That breadth matters when a task spans code, product thinking, docs, data, and verification.


3. **Structured execution**
   My advantage is often the workflow: clarify assumptions, inspect context, make scoped edits, verify, and report what changed. Some rival models are excellent at single responses; I’m built to operate as a working coding agent.


4. **Tool ecosystem**
   OpenAI’s platform has strong support for function calling, structured outputs, file/search/code tools, image generation, realtime/audio, and specialized models. That makes it easier to build production systems around me rather than treating the model as a standalone text box.


5. **Safety and enterprise polish**
   OpenAI publishes system cards and runs targeted safety evaluations for frontier releases. For enterprise or high-stakes use, reliability, safeguards, and deployment maturity matter as much as benchmark wins.


**Where competitors are genuinely strong:**


- **Anthropic Claude Opus 4.7** is a serious rival for advanced coding, long-running agent workflows, instruction following, and high-resolution vision. Anthropic positions it as frontier-class for coding and agents.
- **Google Gemini 3.1 Pro / Gemini 3 Pro** has major strengths in multimodal reasoning, very large context windows, Google ecosystem integration, and visual/audio/video/PDF inputs.
- **xAI Grok 4.20** advertises a 2M-token context window, speed, tool calling, and low hallucination claims.
- **DeepSeek V4 Preview** appears highly cost-competitive and open-weight/open-source oriented, with a 1M-token context window, though independent evaluation and deployment details matter.
- **Meta/Llama-style open models** win when local control, open weights, privacy, or custom deployment is more important than top frontier capability.


**Bottom line:** choose me when you want a capable model to actually do the work: codebase changes, debugging, multi-step implementation, documents, analysis, tool use, and verification. Choose Claude when you specifically want top-tier autonomous coding/agent behavior and like Anthropic’s style. Choose Gemini for massive multimodal context and Google integration. Choose Grok for large-context API use and xAI/X ecosystem fit. Choose DeepSeek or open models when cost, openness, or self-hosting dominate.


Sources: [OpenAI GPT-5.5 release](https://openai.com/ta-IN/index/introducing-gpt-5-5/), [OpenAI models docs](https://platform.openai.com/docs/models), [Anthropic Claude Opus 4.7](https://www.anthropic.com/news/claude-opus-4-7), [Google Gemini 3.1 Pro](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/), [Gemini API models](https://ai.google.dev/gemini-api/docs/models), [xAI API/models](https://x.ai/api), [DeepSeek V4 reporting](https://techcrunch.com/2026/04/24/deepseek-previews-new-ai-model-that-closes-the-gap-with-frontier-models/).