GPT-OSS 120B vs GPT Image 1.5

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.

1. State-of-the-Art Image Generation

• Produces high-quality, detailed images optimized for realism, style control and prompt fidelity.
• Designed to handle complex visual scenes, compositions and lighting conditions.

2. Natively Multimodal Architecture

• Understands and reasons over both text and images as inputs.
• Ideal for workflows like editing based on reference images, expanding sketches or mockups and visual concept development.

3. Flexible Output Resolutions & Quality Levels

• Supports multiple resolutions including 1024x1024, 1024x1536 and 1536x1024.
• Offers three quality tiers (Low, Medium, High) to balance cost, speed and maximum detail.

4. Multiple Pricing Models

• Pay-per-token for multimodal input: text tokens and image tokens.
• Pay-per-image generation for final output: low, medium and high quality tiers.
• Enables businesses to balance cost and output needs.

5. Broad Use Cases

• Product photography and marketing assets.
• Illustration, concept art and creative ideation.
• UX/UI mockups.
• Style-guided image creation.
• Generating reference images for design or storytelling.

6. Supported Across Major API Endpoints

• Available via Chat Completions, Responses, Realtime, Assistants and Images (generations/edits) endpoints.
• Allows tight integration into automated creative pipelines or user-facing apps.

7. Simplified Model Behavior for Stability

• No streaming, function calling, structured outputs or fine-tuning; focused solely on high-quality image generation.

8. Consistent Results via Snapshots

• Supports snapshots for version locking to ensure long-term reproducibility.

9. Ideal For

• Designers, marketers and creatives.
• Product teams needing image assets.
• App builders integrating image generation workflows.
• Agencies producing visual content at scale.