1. Strong reasoning for its generation

• Next-gen version of GPT-4 designed to be cheaper and faster than the original.
• Good for analytical tasks, structured writing, coding guidance, and multi-step reasoning.

2. Image input support

• Accepts images and provides text-only outputs.
• Useful for OCR, visual Q&A, document extraction, UI analysis, and design interpretation.

3. Stable performance

• Predictable model behavior suitable for legacy systems still built on GPT-4.
• Works reliably for established pipelines and enterprise workloads.

4. Large 128K context window

• Handles long documents, multi-file inputs, or extended conversational sessions.
• Allows complex prompt chaining and large instruction sets.

5. Broad endpoint compatibility

• Works with Chat Completions, Responses API, Realtime API, Assistants, Batch, Fine-tuning, Embeddings, and more.
• Supports streaming and function calling.

6. Good choice for cost-controlled GPT-4-class workloads

• Although older, still useful for teams who want GPT-4-level reasoning without upgrading immediately.
• A midpoint between legacy GPT-4 and modern GPT-4o/5.1 models.

7. Text-only output simplifies downstream use

• Ensures deterministic outputs for applications that need reliable text generation.
• Good for RAG, data pipelines, automation tools, and enterprise systems.

8. Recommended migration path

• OpenAI now recommends using GPT-4o or GPT-5.1 for improved speed, cost, reasoning, and multimodal capability.
• GPT-4 Turbo remains available for backward compatibility and stability.

1. Lightweight but thoughtful reasoning

• Designed to 'think before responding' with accessible raw thought traces.
• Excellent for logic puzzles, lightweight reasoning, and systematic tasks.

2. Extremely cost-efficient

• Only $0.30 per 1M input tokens and $0.50 per 1M output tokens.
• Cached token support lowers cost to $0.075 per 1M tokens.

3. Fast and responsive

• Optimized for low-latency applications and high-throughput use cases.
• Suitable for chatbots, assistants, and automation flows.

4. Supports modern developer features

• Function calling for tool-augmented workflows.
• Structured outputs for schema-controlled responses.
• Integrates cleanly with agents and pipelines.

5. Large 131K context window

• Can understand and work with long documents, transcripts, or multi-turn sessions.

6. Great for non-domain-heavy tasks

• Useful for summarization, rewriting, extraction, everyday reasoning, and app logic.
• Does not require domain expertise to operate effectively.

7. Compatible with enterprise infrastructure

• Stable rate limits: 480 requests per minute.
• Same API structure as all Grok 3 models.

8. Optional Live Search support

• $25 per 1K sources for real-time search augmentation.