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OpenAI: o3 Mini High

by OpenAI

7.7
Quality score / 10

Overview

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...

Our take

Unlike many general-purpose AI chatbots, o3 Mini High distinguishes itself by offering a dedicated 'reasoning_effort set to high' mode, directly integrating a chain-of-thought approach for more complex problem-solving. This makes it particularly suited for applications requiring detailed analysis, such as assisting a researcher in breaking down a complex scientific paper or generating step-by-step solutions for advanced mathematical problems. While alternatives like Claude or ChatGPT offer broad capabilities, this model focuses on enhancing the depth of its reasoning, supported by its 200,000-token context window. Furthermore, its ability to return structured JSON outputs and support tool/function calling facilitates integration into agent-style workflows, allowing for more programmatic interactions than simply generating text. Ideal for developers or researchers who need reliable, structured outputs and robust reasoning for STEM-related tasks, particularly those involving scientific or mathematical data. However, as it is text-only, does not offer a free tier, and has a knowledge cutoff of October 2023, users with multimedia input requirements or budget constraints may need to consider other options.

How OpenAI: o3 Mini High stacks up

Among the 367 chatbots & llms tools in our directory, it ranks #200 of 357 on quality (7.7/10), 3% below the 357-tool average of 8.0, and its $1.1/1M input-token rate is in the premium end — 45% cheaper than the 347-model average of $2.01/1M.

Weighing quality against cost, OpenAI: o3 Mini High's cost-per-quality-point of $0.14 places it at #232 of 326 for value among chatbots & llms tools.

OpenAI: o3 Mini High in depth

OpenAI: o3 Mini High, built by OpenAI, sits in the chatbots & llms space and is a paid tool starting at $1.10/1M tokens. Our editors rate it 7.7 out of 10 based on capability, ecosystem and value. It handles a context window of 200,000 tokens.

On the feature side, OpenAI: o3 Mini High brings 200,000-token context window, reasoning / chain-of-thought, tool / function calling and structured (json) outputs. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is built-in reasoning (chain-of-thought) mode for harder problems, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

OpenAI: o3 Mini High is most often chosen for research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
200,000 tokens
Free tier
No
Updated
2026-08-28

Key features

  • 200,000-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Knowledge cutoff 2023-10-31

Pricing

$1.10/1M tokens
Pay per token
Paid$1.10/1M tokens
API input
$1.1 / 1M tokens
API output
$4.4 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Supports tool / function calling for agent-style workflows
  • +Can return structured JSON output for reliable parsing

Cons

  • No free tier — usage is billed per token
  • Text-only: does not accept image input

Who should use OpenAI: o3 Mini High

  • Anyone looking for a chatbots & llms tool from OpenAI.
  • Teams and individuals focused on research and writing.
  • People who value built-in reasoning (chain-of-thought) mode for harder problems.
  • Workflows that need a 200,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.
  • Users who can't accept that text-only: does not accept image input.

Best for

10 Best OpenAI: o3 Mini High Alternatives in 2026

OpenAI: o3 Mini High is a strong chatbots & llms tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to OpenAI: o3 Mini High, ranked and compared.

1
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
2
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
3
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
4
Qwen: Qwen3.8 FlashPaid$0.15/1M tokens

Qwen

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows…

+ Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.8 Flash review →
5
Z.ai: GLM 5.3 FlashPaid$0.07/1M tokens

Z.AI

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.

+ Low API price — $0.075 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,310,720-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Z.ai: GLM 5.3 Flash review →
6

Meta

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an…

+ Low API price — $0.1 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Meta: Muse Spark 1.2 Contributor review →
7

DeepSeek

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full DeepSeek: DeepSeek V4 Flash Vision Exp review →
8
Qwen: Qwen3.8 27BPaid$0.42/1M tokens

Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 27B review →
9

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
10
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →

OpenAI: o3 Mini High vs top alternatives

A side-by-side look at how OpenAI: o3 Mini High stacks up against its closest rivals.

FeatureOpenAI: o3 Mini HighOpenAIClaudeAnthropicChatGPTOpenAIGeminiGoogle DeepMind
Quality score7.7 / 109.6 / 109.5 / 109.2 / 10
Starting price$1.10/1M tokens$20/mo$20/mo$20/mo
Free tierNoYes — Free tier availableYes — Free tier availableYes — Free tier available
API input price$1.1 / 1M tokens$10 / 1M tokens$0.2 / 1M tokens$0.1875 / 1M tokens
API output price$4.4 / 1M tokens$50 / 1M tokens$1.2 / 1M tokens$0.9375 / 1M tokens
SpeedFastFastFast
Context window200,000 tokens200K tokens128K tokens1M-2M tokens
CategoriesChatbots & LLMsChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, WritingChatbots & LLMs, Coding, Writing
Key features
  • 200,000-token context window
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs
  • Industry-leading long context (200K+ tokens)
  • Artifacts for live previews
  • Strong agentic coding (Claude Code)
  • Vision and document analysis
  • Multimodal text, image and voice input
  • Advanced data analysis (code interpreter)
  • Custom GPTs and GPT Store
  • Web browsing and real-time search
  • Up to 2M token context window
  • Deep Google Workspace integration
  • Native video and audio understanding
  • Real-time Google Search grounding
Pros
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Supports tool / function calling for agent-style workflows
  • + Can return structured JSON output for reliable parsing
  • + Best-in-class long-document reasoning
  • + Natural, high-quality writing
  • + Strong safety and reliability
  • + Most polished and widely supported ecosystem
  • + Excellent general reasoning and coding
  • + Huge third-party integration support
  • + Massive context window
  • + Tight integration with Google ecosystem
  • + Generous free access
Cons
  • No free tier — usage is billed per token
  • Text-only: does not accept image input
  • No native image generation
  • Fewer consumer integrations than ChatGPT
  • Usage caps on the most capable models
  • Can be verbose and overly cautious
  • Quality can be inconsistent on edge cases
  • Privacy concerns for some users

Frequently asked questions

Q. Is OpenAI: o3 Mini High free?

No — OpenAI: o3 Mini High is a paid tool, starting at $1.10/1M tokens.

Q. How much does OpenAI: o3 Mini High cost?

OpenAI: o3 Mini High starts at $1.10/1M tokens. API usage is around $1.1 per 1M input tokens and $4.4 per 1M output tokens.

Q. What is OpenAI: o3 Mini High best for?

OpenAI: o3 Mini High is best suited to research and writing, within the chatbots & llms category.

Q. What are the best OpenAI: o3 Mini High alternatives?

Popular alternatives to OpenAI: o3 Mini High include Claude, ChatGPT, Gemini and Qwen: Qwen3.8 Flash. Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to OpenAI: o3 Mini High?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from OpenAI: o3 Mini High?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token; Text-only: does not accept image input), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

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