Every GPT and o-series model — specs, pricing, context window, capabilities, and best use cases.
OpenAI was founded in 2015 as a nonprofit AI research organization and restructured as a "capped-profit" company in 2019. It is the creator of the GPT model family and ChatGPT, which became the fastest-growing consumer application in history at launch in November 2022. OpenAI is known in the market for setting capability benchmarks, early multimodal integration (vision, voice, image generation), and having the largest consumer AI user base. Major investors include Microsoft, which has integrated OpenAI models into Copilot products across its ecosystem.
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| Property | Value | |---|---| | API Identifier | gpt-4o | | Released | May 2024 | | Context Window | 128,000 tokens (~96,000 words) | | Input Pricing | $2.50 per million tokens | | Output Pricing | $10.00 per million tokens | | Vision | Yes | | Tool Use / Function Calling | Yes | | Voice (Realtime API) | Yes |
Best for: General-purpose flagship use. Coding, analysis, document review, customer-facing products, multimodal applications (vision + text). Recommended default for most applications needing GPT-4 class performance.
Strengths: Strong all-around capability, faster and cheaper than GPT-4 Turbo, native multimodal architecture (trained on audio, image, and text together rather than bolted-on), excellent function calling. Voice mode with the Realtime API enables low-latency conversational applications.
Weaknesses: 128K context window is smaller than Claude or Gemini flagship models. Not specialized for deep chain-of-thought reasoning — that is the o-series.
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| Property | Value | |---|---| | API Identifier | gpt-4o-mini | | Released | July 2024 | | Context Window | 128,000 tokens | | Input Pricing | $0.15 per million tokens | | Output Pricing | $0.60 per million tokens | | Vision | Yes | | Tool Use | Yes |
Best for: High-volume, cost-sensitive applications. Replacing GPT-3.5-turbo in most use cases — it is meaningfully smarter at a comparable price.
Strengths: Exceptionally cheap. Strong performance-per-dollar. Supports vision. Good at following instructions on well-defined tasks.
Weaknesses: Weaker than GPT-4o on complex, multi-step reasoning tasks. Not suitable for demanding analytical or coding tasks where quality is critical.
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| Property | Value | |---|---| | API Identifier | gpt-4-turbo | | Released | November 2023 (updated April 2024) | | Context Window | 128,000 tokens | | Input Pricing | $10.00 per million tokens | | Output Pricing | $30.00 per million tokens | | Vision | Yes |
Status: Legacy. GPT-4o is faster, cheaper, and generally as capable or better. Still available via API for existing integrations. Not recommended for new projects.
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The o-series models are designed specifically for tasks requiring deep reasoning. They use chain-of-thought thinking internally before producing a final answer, which increases latency but meaningfully improves accuracy on hard problems.
| Property | Value | |---|---| | API Identifier | o1 | | Released | December 2024 (GA; preview September 2024) | | Context Window | 200,000 tokens | | Input Pricing | $15.00 per million tokens | | Output Pricing | $60.00 per million tokens | | Vision | Yes |
Best for: Complex mathematical reasoning, advanced coding (especially algorithm design and debugging), scientific analysis, tasks where accuracy on hard problems justifies cost and latency.
Strengths: State-of-the-art performance on hard reasoning benchmarks (AIME math, competitive programming). The extended thinking approach produces better results than standard sampling for problems that have well-defined correct answers.
Weaknesses: Expensive. Slower than GPT-4o. Does not support streaming in the same way. Overkill for most everyday tasks.
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| Property | Value | |---|---| | API Identifier | o3-mini | | Released | January 2025 | | Context Window | 200,000 tokens | | Input Pricing | $1.10 per million tokens | | Output Pricing | $4.40 per million tokens |
Best for: Reasoning tasks where cost matters. Math, coding, science at much lower cost than o1.
Strengths: Substantially cheaper than o1 while retaining much of the reasoning benefit. Three effort levels (low/medium/high) allow trading off speed vs. accuracy per request. Benchmarks comparably to o1 on many tasks.
Weaknesses: Less capable than o3 on the hardest problems. Does not support vision.
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| Property | Value | |---|---| | API Identifier | o3 | | Released | April 2025 | | Context Window | 200,000 tokens | | Input Pricing | $10.00 per million tokens | | Output Pricing | $40.00 per million tokens |
Best for: The most demanding reasoning tasks — frontier mathematics, complex software engineering, advanced scientific analysis.
Strengths: OpenAI's most capable reasoning model. Achieves high scores on extremely hard benchmarks that previous models could not crack. Supports vision.
Weaknesses: Expensive and slow compared to non-reasoning models. Best reserved for tasks where it is clearly needed.
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| Plan | Price | Key Features | |---|---|---| | Free | $0/month | GPT-4o access with limits, basic tools | | Plus | $20/month | Higher GPT-4o limits, o1 access, image generation (DALL-E 3), file analysis, browsing, GPTs | | Team | $25/user/month (min 2 users) | All Plus features, workspace, admin console, data privacy controls | | Enterprise | Custom | SSO, expanded limits, no training on data, admin tools, compliance features |
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OpenAI's image generation model, integrated into ChatGPT Plus and available via API. Produces high-quality images from text prompts. API pricing is per image (standard and HD quality tiers, varies by resolution). DALL-E 3 has strong prompt adherence and handles text in images better than earlier generations. Competes with Midjourney, Stable Diffusion, and Google Imagen.
OpenAI's video generation model, announced in February 2024 and available with limited access to Plus and Pro subscribers as of late 2024. Generates video from text prompts, up to 60 seconds. Availability and pricing remain constrained as of early 2025.
OpenAI's open-source speech recognition model, available via API. Strong multilingual speech-to-text performance.
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Known for: First-mover advantage in consumer AI, largest user base, strong multimodal capabilities, deep Microsoft integration (Copilot), extensive plugin and tool ecosystem, and continuous capability updates. The GPT-4o model family represents a cost-performance improvement that has maintained OpenAI's competitive position following strong competition from Anthropic and Google in 2024.
Pricing page: openai.com/pricing
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