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.
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
See what OpenAI: o3 Pro actually costs at your usage level
Based on OpenAI: o3 Pro API pricing: $20/1M input · $80/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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4 data points · tracked daily since May 9, 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.
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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: 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 modelOpenAI: 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.
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 general writing or summarization tasks, or have any sensitivity to API cost.
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
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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