The best bang-for-buck reasoning model for STEM and coding tasks that can tolerate slow response times.
88
Coding
45
Writing
80
Research
0
Images
72
Value
75
Long Context
Use this when
Solving hard math, competitive programming, and multi-step logical reasoning problems where accuracy matters more than speed.
Skip this if
Avoid if you need fast responses, creative writing quality, or real-time conversational use — the high reasoning effort makes it too slow for those scenarios.
Maximum reasoning effort setting produces near-o1-level accuracy on STEM benchmarks at a fraction of the cost
200K context window allows reasoning over large codebases or lengthy technical documents
Outperforms Claude Sonnet 4.6 and Gemini 3.1 Pro on competition math (AIME) and coding (Codeforces) benchmarks
Significantly cheaper than o3 full or o1 while retaining strong logical precision
Weaknesses
Slow output due to high reasoning effort — not suitable for latency-sensitive or conversational applications
Weak at creative writing, nuanced prose, and open-ended generative tasks compared to GPT-5.4 or Claude Sonnet 4.6
No image generation or native multimodal output capabilities
Monthly cost estimate
See what OpenAI: o3 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: o3 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: o3 Mini High pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Solving hard math, competitive programming, and multi-step logical reasoning problems where accuracy matters more than speed.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
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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.
o4 Mini is OpenAI's compact reasoning model that applies chain-of-thought thinking to complex problems at a fraction of the cost of o4. It delivers strong mathematical, coding, and logical reasoning capabilities while remaining accessible to developers on tighter budgets.
Verdict
The most cost-efficient reasoning model for serious STEM and coding workloads.
Quality score
70%
Pricing
$1.10/1M in
$4.40/1M out
Speed
Deliberate
Best for developers and analysts who need serious reasoning power for stem tasks without paying full o4 or o3 prices.
Context
200k tokens
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.
ReasoningSTEMBudget-FriendlyLong ContextCoding
Best for
Developers and analysts who need serious reasoning power for STEM tasks without paying full o4 or o3 prices.
OpenAI: o3 Mini High is best for solving hard math, competitive programming, and multi-step logical reasoning problems where accuracy matters more than speed.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
When should I avoid OpenAI: o3 Mini High?
Avoid if you need fast responses, creative writing quality, or real-time conversational use — the high reasoning effort makes it too slow for those scenarios.
What is a cheaper alternative to OpenAI: o3 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: o3 Mini High?
GPT-5.2 is the better pick when response time matters more than maximum depth or premium quality.
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