Maximum-effort reasoning at mid-tier pricing — excellent for hard problems, overkill for everything else.
Developers and researchers who need strong reasoning accuracy on hard STEM, math, or logic problems without paying full o3 pricing.
High reasoning effort setting pushes accuracy on competition-math and logic benchmarks close to o3 at a fraction of the cost
200K context window handles large codebases, lengthy research papers, or multi-document analysis
Significantly cheaper than o3 or GPT-5 class models for reasoning-intensive tasks
Strong code debugging and algorithm design thanks to extended internal chain-of-thought
Slower than o4 Mini (default) or o4 Mini Low due to maximum reasoning effort — noticeably deliberate latency per response
See what OpenAI: o4 Mini High actually costs at your usage level
Based on OpenAI: o4 Mini High API pricing: $1.1/1M input · $4.4/1M 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
Developers and researchers who need strong reasoning accuracy on hard STEM, math, or logic problems without paying full o3 pricing.. 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: o4 Mini High (OpenAI) is now indexed. Maximum-effort reasoning at mid-tier pricing — excellent for hard problems, overkill for everything else.
View modelOpenAI: o4 Mini High is best for developers and researchers who need strong reasoning accuracy on hard stem, math, or logic problems without paying full o3 pricing.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
You need fast, conversational responses or primarily creative writing — the deliberate reasoning overhead and mechanical tone make it a poor fit for those workflows.
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, conversational responses or primarily creative writing — the deliberate reasoning overhead and mechanical tone make it a poor fit for those workflows.
No native image generation; multimodal input is limited compared to GPT-4o or Gemini 3.1 Pro
Writing and creative tasks feel mechanical — Claude Sonnet 4.6 or GPT-5.4 produce far more natural prose
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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