The most cost-efficient reasoning model for serious STEM and coding workloads.
88
Coding
58
Writing
82
Research
0
Images
72
Value
80
Long Context
Use this when
Developers and analysts who need serious reasoning power for STEM tasks without paying full o4 or o3 prices.
Skip this if
You need fast, conversational responses or primarily creative writing tasks where non-reasoning models like GPT-4o Mini or Claude Haiku 3.5 are faster and cheaper.
Pricing
$1.10/1M in
$4.40/1M out
→0%since May 2026
Context
200k tokens
Speed
Deliberate
Priced at $1.1/$4.4 per 1M tokens (input/output), o4 Mini is significantly cheaper than o3 ($10/$40) and o4. Output tokens are 4x the input price, so verbose reasoning traces can add up — use max_completion_tokens limits in production pipelines.
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.
OpenAIBalanced
OpenAI: o3 Mini
OpenAI's o3 Mini is a compact reasoning model optimized for STEM tasks, offering chain-of-thought capabilities at a fraction of the cost of o3. It excels at math, coding, and logical problem-solving while maintaining a large 200K context window.
Verdict
The most cost-efficient way to access serious chain-of-thought reasoning for STEM and coding work.
Quality score
68%
Pricing
$1.10/1M in
$4.40/1M out
Speed
Deliberate
Best for cost-effective deep reasoning on math, code, and structured logic problems where o3's full price isn't justified.
Context
200k tokens
Supports three reasoning effort settings via the API (low, medium, high), which significantly affect latency and token usage. No vision/image input support. Available via OpenAI API and ChatGPT Plus.
o3 Mini High is OpenAI's compact reasoning model running at maximum reasoning effort, delivering deep chain-of-thought problem-solving in a cost-efficient package. It specializes in STEM tasks — math, coding, and logic — where extended deliberation yields significantly better results than standard chat models.
Verdict
The best bang-for-buck reasoning model for STEM and coding tasks that can tolerate slow response times.
Quality score
66%
Pricing
$1.10/1M in
$4.40/1M out
Speed
Deliberate
Best for solving hard math, competitive programming, and multi-step logical reasoning problems where accuracy matters more than speed.
Context
200k tokens
The 'High' suffix refers to the reasoning_effort parameter set to 'high', which increases token usage and latency significantly versus o3 Mini at medium or low effort. Priced at $1.1/$4.4 per million tokens, it is far cheaper than o1 ($15/$60) and full o3, making it attractive for batch workloads.
OpenAI: o4 Mini is best for developers and analysts who need serious reasoning power for stem tasks without paying full o4 or o3 prices.. 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?
You need fast, conversational responses or primarily creative writing tasks where non-reasoning models like GPT-4o Mini or Claude Haiku 3.5 are faster and cheaper.
What is a cheaper alternative to OpenAI: o4 Mini?
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?
GPT-5.2 is the better pick when response time matters more than maximum depth or premium quality.
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