LangMart: OpenAI: o4 Mini High
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/openai/o4-mini-high |
| Name | OpenAI: o4 Mini High |
| Provider | openai |
| Released | 2025-04-16 |
Description
OpenAI o4-mini-high is the same model as 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 strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains.
Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.
Description
LangMart: OpenAI: o4 Mini High is a language model provided by openai. This model offers advanced capabilities for natural language processing tasks.
Provider
openai
Specifications
| Spec | Value |
|---|---|
| Context Window | 200,000 tokens |
| Modalities | text+image->text |
| Input Modalities | image, text, file |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $1.10 per 1M tokens |
| Output | $4.40 per 1M tokens |
Capabilities
- Include reasoning
- Max tokens
- Reasoning
- Response format
- Seed
- Structured outputs
- Tool choice
- Tools
Detailed Analysis
OpenAI: o4-mini High