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.
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
See what OpenAI: o1-pro actually costs at your usage level
Based on OpenAI: o1-pro API pricing: $150/1M input · $600/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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→0% since May 9
4 data points · tracked daily since May 9, 2026
Solving the hardest math, science, and engineering problems where accuracy is non-negotiable and cost is secondary.. Start free — no card required.
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OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
Pricing moves, ranking shifts, and capability updates.
OpenAI: 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 modelOpenAI: 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.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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You need fast responses, are working on everyday tasks like drafting emails or summarizing documents, or have any budget sensitivity at all.
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
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.
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