The original deep-thinker that excels at hard reasoning problems, now overshadowed by newer o-series models but still formidable for complex STEM work.
Solving complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, and rigorous scientific analysis.
Exceptional multi-step logical reasoning that outperforms GPT-4o on AIME, GPQA, and similar benchmarks
Strong at catching its own errors through internal deliberation before responding
200K context window handles large codebases, legal documents, and lengthy research papers
Reliable performance on PhD-level science and competition-math problems
Extremely expensive at $60/1M output tokens — roughly 10x the cost of GPT-4o mini for similar tasks it can handle
See what OpenAI: o1 actually costs at your usage level
Based on OpenAI: o1 API pricing: $15/1M input · $60/1M 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 complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, and rigorous scientific analysis.. 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 (OpenAI) is now indexed. The original deep-thinker that excels at hard reasoning problems, now overshadowed by newer o-series models but still formidable for complex STEM work.
View modelOpenAI: o1 is best for solving complex reasoning tasks where accuracy matters more than response time, such as competitive programming, advanced mathematics, 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 turnaround, are doing routine writing or summarization, or have a tight budget — the cost-to-value ratio is poor for anything a standard flagship model can handle.
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 turnaround, are doing routine writing or summarization, or have a tight budget — the cost-to-value ratio is poor for anything a standard flagship model can handle.
Deliberate reasoning makes it noticeably slow, often taking 15–60 seconds per response
No image generation, audio, or tool-use capabilities; purely text-in, text-out
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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