Maximum-effort reasoning at mid-tier pricing — excellent for hard problems, overkill for everything else.
88
Coding
52
Writing
85
Research
0
Images
62
Value
82
Long Context
Use this when
Developers and researchers who need strong reasoning accuracy on hard STEM, math, or logic problems without paying full o3 pricing.
Skip this if
You need fast, conversational responses or primarily creative writing — the deliberate reasoning overhead and mechanical tone make it a poor fit for those workflows.
Pricing
$0.55/1M in
$2.20/1M out
↓50%since May 2026
Context
200k tokens
Speed
Deliberate
The 'High' suffix denotes maximum reasoning effort, distinct from o4 Mini (balanced) and o4 Mini Low. Higher effort means higher token consumption in internal reasoning traces, which can push effective cost above the stated $1.1/$4.4 per million for very complex queries. No image generation capability.
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
Weaknesses
Slower than o4 Mini (default) or o4 Mini Low due to maximum reasoning effort — noticeably deliberate latency per response
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
Real-world use cases
What people actually use OpenAI: o4 Mini High for.
Solving multi-step competition mathematics problems (AMC/AIME level) with step-by-step verification
Automated code review of a 50K-token Python monorepo to identify logic errors and suggest refactors
Synthesizing findings across a 150-page research corpus and generating a structured literature review
Price History
OpenAI: o4 Mini High pricing over time
↓50% since May 9
90 data points · tracked daily since May 9, 2026
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Start using OpenAI: o4 Mini High
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.
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
Verdict
Best OpenAI flagship for agentic coding, research, and computer-use work.
Quality score
94%
Pricing
$2.50/1M in
$15.00/1M out
Speed
Balanced
Best for agentic coding, computer-use workflows, and complex research tasks
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 58.6%, Terminal-Bench 2.0 82.7%, $5/$30 per 1M tokens, 1M API context.
AgenticCodingComputer useLong contextPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
The flagship of OpenAI's GPT-5.6 family — its most capable reasoning and agentic-coding model, with an 'ultra' mode that spawns sub-agents for long autonomous workflows.
Verdict
Best OpenAI flagship — leads terminal coding and agentic browsing.
Quality score
96%
Pricing
$2.50/1M in
$15.00/1M out
Speed
Deliberate
Best for frontier agentic coding, deep research, and hardest reasoning tasks
Context
1.1M tokens
First frontier model family to clear a customer-by-customer US government review: limited preview June 26, full public release July 9, 2026. Pricing $5/$30 ($10/$45 above 272K context). Knowledge cutoff Feb 16, 2026.
AgenticReasoningFlagshipSub-agentsPremium
Best for
Frontier agentic coding, deep research, and hardest reasoning tasks
The balanced mid-tier of the GPT-5.6 family — GPT-5.5-class capability at a fraction of the price, built for production workloads at scale.
Verdict
Best OpenAI value — near-flagship capability at 60% off.
Quality score
93%
Pricing
$1.00/1M in
$6.00/1M out
Speed
Balanced
Best for high-volume production and enterprise workloads
Context
1.1M tokens
Launched at $2.50/$15, cut to $2/$12 on July 30, 2026. Long-context above 272K: $4/$18. Part of the government-reviewed GPT-5.6 family, fully public July 9, 2026.
OpenAI: o4 Mini High (OpenAI) is now indexed. Maximum-effort reasoning at mid-tier pricing — excellent for hard problems, overkill for everything else.
OpenAI: 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.
When should I avoid OpenAI: o4 Mini High?
You need fast, conversational responses or primarily creative writing — the deliberate reasoning overhead and mechanical tone make it a poor fit for those workflows.
What is a cheaper alternative to OpenAI: o4 Mini High?
Mistral: Mistral Nemo is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to OpenAI: o4 Mini High?
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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