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Favicon for openai

OpenAI: o3 Mini High

openai/o3-mini-high

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OpenAI o3-mini-high is the same model as 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 coding. The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities.

The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

Modalities
In / Out Price
$1.10 / $4.40per 1M
Context
200K
Released
Feb 12, 2025
Knowledge Cutoff
Oct 2023
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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: o3 Mini High (Artificial Analysis)
SourceBenchmarkScore
Artificial Analysiso3-mini (High) Coding Index16.3
Artificial Analysiso3-mini (High) Agentic Index0.9
Artificial Analysiso3-mini (High) GPQA Diamond77.3%
Artificial Analysiso3-mini (High) HLE12.0%
Artificial Analysiso3-mini (High) IFBench67.1%
Artificial Analysiso3-mini (High) τ²-Bench Telecom31.3%
Artificial Analysiso3-mini (High) AA-LCR43.0%
Artificial Analysiso3-mini (High) τ-Bench Banking5.2%
Artificial Analysiso3-mini (High) GDPval-AA0.0%
Artificial Analysiso3-mini (High) CritPt0.3%
Artificial Analysiso3-mini (High) LiveCodeBench73.4%
Artificial Analysiso3-mini (High) SciCode42.8%
Artificial Analysiso3-mini (High) Terminal-Bench Hard6.1%
Artificial Analysiso3-mini (High) Terminal-Bench 4.00.0%
Artificial Analysiso3-mini (High) Terminal-Bench 2.14.5%
Artificial Analysiso3-mini (High) MMLU-Pro80.2%
Artificial Analysiso3-mini (High) AIME86.0%
Artificial Analysiso3-mini (High) MATH-50098.5%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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Availability over the last 24 hours

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When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

OpenAI o3-mini-high is the same model as 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 coding.

o3 Mini High costs $1.10/M input tokens and $4.40/M output tokens, with separate rates for Cache Read at $0.55/M tokens.

o3 Mini High has a 200,000 token context window. It supports up to 100,000 completion tokens.

Yes. o3 Mini High accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

o3 Mini High accepts text and files such as PDFs as input and returns text.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 62 more are other text models from OpenAI.

o3 Mini High was released on February 12, 2025. Its knowledge cutoff is October 31, 2023.