GPT-4 Turbo
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
The most powerful reasoning model OpenAI offers — but its extreme pricing means you should reach for it only when accuracy genuinely cannot be compromised.
Elite-level reasoning tasks where accuracy is paramount and cost is not a constraint — graduate-level math, competitive programming, and rigorous scientific analysis.
You need fast responses, are working on general writing or summarization tasks, or have any sensitivity to API cost.
Compare every model's knowledge cutoff, max output, and context window.
o3 Pro is only available via the OpenAI API and ChatGPT Pro subscription tier. Response times can range from tens of seconds to several minutes depending on problem complexity. Output pricing at $80/M tokens is 4x the cost of standard o3.
Top-tier performance on STEM benchmarks, surpassing standard o3 and competing directly with Gemini 3.1 Pro on mathematical reasoning
Extended thinking budget allows deeper verification of multi-step logical chains, reducing hallucinations on hard problems
200K context window handles large codebases, lengthy research papers, and complex multi-document analysis
Exceptional at formal proof verification, algorithm design, and problems requiring exhaustive case analysis
At $20/$80 per million tokens, it is among the most expensive models available — Claude Sonnet 4.6 delivers strong reasoning at a fraction of the cost
Deliberate reasoning speed makes it unsuitable for latency-sensitive or high-throughput applications
Overkill for most everyday tasks where o3-mini or GPT-4o achieve sufficient quality at far lower cost
What people actually use o3 Pro for.
Solving olympiad-level mathematics problems with full step-by-step proof verification
Auditing complex smart contract code for security vulnerabilities across a large multi-file codebase
Synthesizing and critically analyzing a 150-page clinical trial dataset to surface methodological flaws
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), o3 Pro costs about 60% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo (older v1106) — Against GPT-4 Turbo (older v1106) (OpenAI), o3 Pro costs about 60% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo (older v1106) is the one to check first if the price difference matters more than the ceiling.
vs GPT-4 Turbo Preview — Against GPT-4 Turbo Preview (OpenAI), o3 Pro costs about 60% more per token, takes 1.6x the context and answers slower. GPT-4 Turbo Preview is the one to check first if the price difference matters more than the ceiling.
Price History
→0% since May 30
90 data points · tracked daily since May 30, 2026
Elite-level reasoning tasks where accuracy is paramount and cost is not a constraint — graduate-level math, competitive programming, and rigorous scientific analysis.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Pricing moves, ranking shifts, and capability updates.
OpenAI: o3 Pro output pricing changed from $40.00/1M to $80.00/1M (↑ more expensive, 100% increase).
View modelOpenAI: o3 Pro input pricing changed from $10.00/1M to $20.00/1M (↑ more expensive, 100% increase).
View modelOpenAI: o3 Pro output pricing changed from $80.00/1M to $40.00/1M (↓ cheaper, 50% cut).
View modelOpenAI: o3 Pro input pricing changed from $20.00/1M to $10.00/1M (↓ cheaper, 50% cut).
View modelOpenAI: o3 Pro (OpenAI) is now indexed. The most powerful reasoning model OpenAI offers — but its extreme pricing means you should reach for it only when accuracy genuinely cannot be compromised.
View modelo3 Pro costs $20 per million input tokens and $80 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $360.00 at list price, before any batch or caching discounts.
o3 Pro has a 200k tokens context window, with up to 100k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
o3 Pro's training data runs through October 2024, and the model was released on June 10, 2025. For anything after that date it needs web search or documents in the prompt.
o3 Pro is best for elite-level reasoning tasks where accuracy is paramount and cost is not a constraint — graduate-level math, competitive programming, and rigorous scientific analysis.. It is a strong fit when that workflow matters more than the tradeoffs around premium pricing and deliberate speed.
You need fast responses, are working on general writing or summarization tasks, or have any sensitivity to API cost.
GPT-4 Turbo (OpenAI) at $10.00/1M/1M input against o3 Pro's $20.00/1M/1M — roughly 60% less per token all in. A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup. Compare it first if o3 Pro's pricing is the thing stopping you.
GPT-4 Turbo (older v1106) — balanced against o3 Pro's deliberate, with 128k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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