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 available, but its extreme cost means it's only justified for the hardest problems where no other model will do.
Solving the hardest math, science, and engineering problems where accuracy is non-negotiable and cost is secondary.
You need fast responses, are working on everyday tasks like drafting emails or summarizing documents, or have any budget sensitivity at all.
o1-pro is available only via the OpenAI API and ChatGPT Pro subscription ($200/month). It does not support streaming and has longer latency than any other OpenAI model. Not suitable for high-volume workloads.
Exceptional multi-step reasoning with fewer errors than standard o1 on difficult problems
Handles complex mathematical proofs, competitive programming, and graduate-level science questions reliably
200K context window supports long technical documents and code repositories
Significantly more consistent than o1 on problems requiring sustained logical chains
Extremely expensive at $150/$600 per million tokens — roughly 10x the cost of o1 and 30x Claude Sonnet 4.6
Very slow response times due to extended compute budget, making it unsuitable for interactive use
No image generation capability and limited multimodal utility compared to GPT-5.4
What people actually use o1-pro for.
Verifying a formal mathematical proof and identifying subtle logical errors across dozens of steps
Solving competition-level algorithmic programming problems (e.g., ICPC, Codeforces Div. 1) with full solution explanations
Synthesizing conflicting findings across a large corpus of research papers to produce a coherent technical analysis
The nearest models people weigh against it, and what actually separates them.
vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), o1-pro costs about 95% 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), o1-pro costs about 95% 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), o1-pro costs about 95% 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 31
90 data points · tracked daily since May 31, 2026
Solving the hardest math, science, and engineering problems where accuracy is non-negotiable and cost is secondary.. 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: o1-pro output pricing changed from $300.00/1M to $600.00/1M (↑ more expensive, 100% increase).
View modelOpenAI: o1-pro input pricing changed from $75.00/1M to $150.00/1M (↑ more expensive, 100% increase).
View modelOpenAI: o1-pro output pricing changed from $600.00/1M to $300.00/1M (↓ cheaper, 50% cut).
View modelOpenAI: o1-pro input pricing changed from $150.00/1M to $75.00/1M (↓ cheaper, 50% cut).
View modelOpenAI: o1-pro (OpenAI) is now indexed. The most powerful reasoning model available, but its extreme cost means it's only justified for the hardest problems where no other model will do.
View modelo1-pro costs $150 per million input tokens and $600 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $2700.00 at list price, before any batch or caching discounts.
o1-pro is best for solving the hardest math, science, and engineering problems where accuracy is non-negotiable and cost is secondary.. 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 everyday tasks like drafting emails or summarizing documents, or have any budget sensitivity at all.
GPT-4 Turbo (OpenAI) at $10.00/1M/1M input against o1-pro's $150.00/1M/1M — roughly 95% 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 o1-pro's pricing is the thing stopping you.
GPT-4 Turbo (older v1106) — balanced against o1-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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