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.
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
Monthly cost estimate
See what OpenAI: o4 Mini High actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$1.10
Output cost
$2.20
Total / month
$3.30
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.
Price History
OpenAI: o4 Mini High pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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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.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
OpenAIPremium
OpenAI: GPT-4 Turbo
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.
Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
Best for complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
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.
Verdict
A reliable but outdated GPT-4 snapshot that only makes sense when version pinning is a hard requirement.
Quality score
66%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
Best for teams requiring a pinned, stable version of gpt-4 turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
Context
128k tokens
This is a pinned model snapshot (v1106) and will not receive capability updates. OpenAI may deprecate older snapshots over time. Knowledge cutoff is April 2023. Not recommended for new deployments given the superior cost-performance of GPT-4o and GPT-4.1.
Legacy128K ContextPinned SnapshotGPT-4Premium
Best for
Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
GPT-4 Turbo Preview is an early access version of GPT-4 Turbo, OpenAI's then-flagship model featuring a 128K context window and knowledge improvements over the original GPT-4. It was designed to deliver GPT-4-class reasoning at reduced cost compared to the original GPT-4.
Verdict
A once-capable flagship now overshadowed by faster, cheaper, and smarter successors.
Quality score
67%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
Best for complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.
Context
128k tokens
This is a 'preview' variant that OpenAI has largely deprecated in favor of gpt-4-turbo and gpt-4o. The endpoint may be retired or redirected by OpenAI without notice. Check the OpenAI model deprecation schedule before building production applications on this model.
GPT-4Long ContextLegacyPremiumOpenAI
Best for
Complex multi-step reasoning, long-document analysis, and professional writing tasks requiring strong instruction-following.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: o4 Mini High — added to UseRightAI
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?
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.
What is a faster alternative to OpenAI: o4 Mini High?
OpenAI: GPT-4 Turbo is the better pick when response time matters more than maximum depth or premium quality.
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