o4 Mini High

o4 Mini High

OpenAILLM

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

MultimodalAPI AvailableVisionTool CallingReasoning

Specifications

Context Window

200K tokens

Input Price/1M

$1.10

Output Price/1M

$4.40

Parameters

Speed

160 tok/s

Latency (TTFT)

29.1s

Max Output

100K tokens

Benchmarks

o4 Mini High results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench85.9100.0Artificial Analysis official API
AA Coding Index25.6100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro83.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50098.9100.0Artificial Analysis official API
AIME 202590.7100.0Artificial Analysis official API
AA Math Index90.7100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index33.1100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro83.2100.0Artificial Analysis official API
GPQA Diamond78.4100.0Artificial Analysis official API
HLE18.0100.0

Information

Release date
April 16, 2025
Tool Calling
✅ Supported
Vision
✅ Supported
Audio
❌ Not supported

Full Analysis: o4 Mini High

What is o4 Mini High?

o4 Mini High is an AI model developed by OpenAI, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via OpenAI's cloud API. With a context window of 200K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.

Pricing & Costs in 2026

o4 Mini High is usage-based, priced at $1.1/1M input tokens and $4.4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.

Benchmarks & Performance

o4 Mini High was evaluated on 10 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show exceptional performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

o4 Mini High is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, o4 Mini High competes directly with similarly capable models. Key competitors include Claude (Anthropic), Gemini (Google), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is o4 Mini High?

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...

How much does o4 Mini High cost?

o4 Mini High costs $1.1/1M input tokens and $4.4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does o4 Mini High compare with other models?

In available benchmarks, o4 Mini High scored: LiveCodeBench: 85.9/100, AA Coding Index: 25.6/100, MMLU-Pro: 83/100. See the full table above for a detailed comparison.

Is o4 Mini High open source?

No, o4 Mini High is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is o4 Mini High best for?

o4 Mini High excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.

Last updated: June 01, 2026 View methodology →