1. Highest reasoning quality in the GPT-5 family

• Uses significantly more compute to "think harder" before responding.
• Designed for the toughest reasoning tasks where answer quality matters more than speed.
• Produces more precise, reliable, and detailed outputs than standard GPT-5.

2. Advanced multi-turn reasoning via Responses API

• Available only in the Responses API to support:
  • Multi-turn internal model interactions before returning a reply.
  • Advanced control patterns (e.g., background mode for long-running jobs).
• Ideal for complex workflows, deep planning, and multi-step analysis.

3. Configured for maximum effort by default

• Always runs with reasoning.effort: 'high' (no lower-effort mode).
• Prioritizes depth and correctness over latency and cost.

4. Multimodal input

• Accepts text + image as input.
• Outputs text, with strong instruction-following and analysis capabilities.

5. Tooling and ecosystem integration

• Supports Web Search, File Search, and Image Generation (as tools).
• Supports MCP and other Responses API tooling patterns.
• Does not support Code Interpreter and does not support Computer Use, keeping focus on pure reasoning + tools.

1. Most powerful open-weight model

• 117B parameters (5.1B active) while fitting on a single H100 GPU.
• High reasoning quality compared to other open models.

2. Apache 2.0 license

• Fully permissive, no copyleft or patent restrictions.
• Safe for commercial products, research, and redistribution.

3. Configurable reasoning effort

• Supports adjustable reasoning: low, medium, high.
• Lets developers balance latency vs. depth.

4. Full chain-of-thought access

• Unlike closed commercial models, this exposes complete reasoning traces.
• Useful for debugging, auditing, safety research, and transparency.

5. Fine-tunable

• Fully supports parameter fine-tuning.
• Can be adapted to domain-specific workflows and proprietary datasets.

6. Agentic capabilities

• Built-in function calling.
• Native support for web browsing, Python execution, and structured outputs.
• Ideal for open-source agents, full-stack automation, and developer tooling.

7. Tooling ecosystem support

• Compatible with Chat Completions, Responses API, Assistants, Realtime, Batch, and Fine-tuning endpoints.
• Supports Image Generation, Code Interpreter (via Python runtime), and more.

8. Open-source availability

• Downloadable on HuggingFace for local or on-prem deployment.
• Supports full offline, private, or self-hosted usage.

9. Streaming + function calling support

• Real-time interactions.
• Strong for interactive agents, coding assistants, and UI-driven workflows.