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ChatGPT: All Models currently available. Complete Guide (updated mid-2025)

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OpenAI offers eight distinct models, each with features and performance optimized for specific uses.

Starting in spring 2025, the ChatGPT interface allows users to directly choose from a range of models that reflect different computational strategies, cost priorities, and use cases. This flexibility applies to both Plus and Team/Enterprise plans, each of which grants access to specific models. The variety includes “generalist” solutions like GPT‑4o, models with stronger logic such as o3‑pro, and specialized models like o4‑mini‑high for visual processing or GPT‑4.1 for programming. Understanding each model in detail allows you to make an informed choice for every professional or operational need.



GPT‑4o handles voice, text, and images with a general balance suitable for any context.

It is the default model and is also available for free.

GPT‑4o, released on May 13, 2025, is OpenAI’s first “omni” model: it understands and generates text, voice, and visual content with a single unified architecture. Today, it is the default model in ChatGPT for all users, including the free plan, and it can handle real-time voice conversations, analyze images and PDF files, generate code, and interpret formulas. The context window is 128,000 tokens, though it is limited to 32,000 in the standard UI for optimization reasons. Even though it isn’t the absolute best in every domain, it represents the most robust choice for those seeking versatility.

Feature

Value

Release

May 13, 2025

Context

128k (32k in UI)

Multimodality

✅ text, images, voice

Access

Free, Plus, Team, Enterprise

Tool support

✅ all active (code, web, etc.)

API price

$2.50 input / $10.00 output



The o3 model enhances logical capacity and structured reasoning.

Perfect for analytical tasks, logic tests, and complex documents.

The o3 model, made available starting in April 2025, was designed to improve the reliability and consistency of responses in more structured contexts, outperforming GPT‑4o in reasoning benchmarks. It was designed for environments where it is crucial to follow complex instructions, interpret rules, compare tables, and maintain rigorous logical flow even over long passages. The maximum context of 200,000 tokens allows it to process entire technical documents, contracts, scientific research, or complex accounting flows. The lack of voice and vision makes it better suited for “serious” textual use.

Feature

Value

Release

April 16, 2025

Context

200k

Optimized for

Reasoning, analysis, instructions

Multimodality

❌ text only

Access

Plus, Team, Enterprise

API price

$2.00 input / $8.00 output



The o3‑pro model guarantees maximum reliability in the most critical tasks.

It is reserved for Team and Enterprise plans, and is the most expensive.

o3‑pro was introduced to the Team plan in June 2025 with the goal of offering a stable, high-precision model capable of handling highly sensitive tasks. It uses the same base architecture as o3, but runs with more computing resources (“high compute instance”), significantly improving performance in OpenAI’s reliability tests. It is recommended for companies operating in sectors such as legal, insurance, healthcare, or government, where the probability of error must be minimized.

Differences between o3 and o3‑pro

o3

o3‑pro

Architecture

identical

identical

CPU/GPU resources

standard

higher

API cost

$2 / $8

$20 / $80

Average accuracy

good

very high

Target use

text analysis

critical corporate settings



The o4‑mini model focuses on efficiency and response speed.

It is the fastest among those capable of advanced reasoning.

o4‑mini is ideal for those working on frequent, automated, and repetitive tasks. It has a context window of 200k tokens and stands out for 40% lower latency compared to GPT‑4o. It is suitable for developers building high-volume AI tools: emails, classifications, status updates, automated reply generation. While less precise than o3‑pro, it is much more cost and time efficient.

Feature

Value

Average latency

🔽 -40% compared to GPT‑4o

API cost

$1.40 / $5.60

Access

Free (limited), Plus, Team

Multimodality

✅ images supported

Ideal use

automation, customer support



The o4‑mini‑high model is specialized for code and structured visual analysis.

It is still in testing but already usable by many users.

This variant is designed for complex operations involving code, images with text (OCR), charts, or tables. It makes visual processing of documents like invoices, bank statements, Excel data more reliable, and improves the semantic understanding of complex structures. In programming benchmarks (SWE‑Bench), it outperforms o3‑pro in some tests, making it ideal for technical AI tools. It is currently available in the UI but with daily message limits.


GPT‑4.5 is an experimental model focused on creative writing.

It is available as a preview but not suitable for technical tasks.

With a context window of 256k tokens and strong linguistic performance, GPT‑4.5 is useful for those writing fiction, advertising, copywriting, or screenplays. However, it has been partially withdrawn from the APIs due to very high costs and poor competitiveness in logic or coding. It remains accessible in UI mode for creative testing and content production with a personalized tone.



GPT‑4.1 is currently the benchmark model for those developing code or handling long documents.

It combines speed, extended context, and excellent technical performance.

With a window of 1 million tokens (reduced to 128k or 32k in the UI), GPT‑4.1 is the most efficient model for software development and technical documentation analysis. It outperforms GPT‑4o and o3 in almost all formal coding benchmarks and is intended for complex programming pipelines, LLM-as-engine tools, and editorial contexts where extended references are needed. It supports all tools and has become the new technical standard within ChatGPT.


GPT‑4.1‑mini is the lightweight model for everyday automation.

Low cost, fast, always available.

This variant is ideal for simple, repetitive tasks that require efficiency and low cost. It is often used for emails, summaries, operational commands, and workflows to be integrated into bots or plugins. It is much faster than GPT‑4o and much cheaper than all other models. It supports extended context and is often used even in free plans as a fallback.


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