O3 Mini

The o3-mini/text-to-text model represents the pinnacle of cost-efficient reasoning. Engineered by OpenAI and hosted on the high-performance GPT Proto platform, o3-mini/text-to-text excels in complex problem-solving across mathematics, programming, and scientific domains. Unlike standard large language models, o3-mini/text-to-text utilizes a specialized reasoning chain to verify logic before responding, significantly reducing hallucinations. By integrating o3-mini/text-to-text through GPT Proto, users gain access to a streamlined infrastructure that minimizes latency while maintaining the deep cognitive capabilities required for sophisticated enterprise applications.

Modalities

Context

API Usage Examples

curl --request POST "https://gptproto.com/v1/chat/completions" \
  --header "Authorization: Bearer $GPTPROTO_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
    "model": "o3-mini",
    "messages": [
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

O3 Mini pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 30% below official rates.

Your usage

Model

OpenAI · ≈ 148M tokens/mo (48M cached)

Monthly volume

OpenRouter

List + 5.5% credit fee

$157.83

per month

Input (non-cached)$37.14

Cache read$27.85

Output$92.84

OpenAI

Direct from OpenAI (list price)

$149.60

per month

Input (non-cached)$35.20

Cache read$26.40

Output$88

BEST VALUE

GPTProto

30% off official

$104.72

per month

After discount$104.72

Effective$104.72

Monthly cost by source

OpenRouter

$157.83

OpenAI

$149.60

GPTProto

$104.72

Save $44.88 / month

on GPTProto vs OpenAI (−30%)

Annual savings ≈ $538.56 · pay as you go

OpenRouter costs include its ~5.5% credit purchase fee. GPTProto applies a per-model discount (10–30% off) and your bonus credits are also spent at discounted rates — savings compound. Estimates assume a 60% cache hit rate.

Related Models

All Models

O3 Mini

Current

byOpenAI200K context$0.77/M input$3.08/M output

DeepSeek Flash

byDeepSeek$0.3/M input$1.2/M output

Hy4 Preview

byHunyuan1.05M context$0.7923/M input$2.376/M output

GPT 6 Astra

byOpenAI1.05M context$8/M input$40/M output

Gemini 3.8 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Claude Fable 5.1

byClaude1M context$9/M input$45/M output

Qwen3.8 Max 0902

byQwen1M context$1.8/M input$5.4/M output

GLM 5.3 Flash

byZ-AI1.31M context$0.15/M input$0.5/M output

DeepSeek v4 Flash Vision Exp

byDeepSeek1.05M context$0.3/M input$1.2/M output

GLM 5.3

byZ-AI1.31M context$1.26/M input$3.96/M output

Gemini 3.7 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Grok 4.6

byGrok500K context$1.2/M input$3.6/M output

Qwen3.8 Max

byQwen1M context$1.8/M input$5.4/M output

Claude Opus 5

byClaude1M context$4.5/M input$22.5/M output

Gemini 3.6 Flash

byGoogle1.05M context$0.9/M input$4.5/M output

Kimi K3

byMoonshotAI1.05M context$2.7/M input$13.5/M output

GPT 5.6 Luna

byOpenAI1.05M context$0.16/M input$0.96/M output

GPT 5.6 Terra

byOpenAI1.05M context$1.6/M input$9.6/M output

GPT 5.6 Sol

byOpenAI1.05M context$3.2/M input$16/M output

Grok 4.5

byGrok500K context$1.2/M input$3.6/M output

Claude Sonnet 5

byClaude1M context$1.8/M input$9/M output

Minimax M3

byMiniMax1.05M context$0.48/M input$0.96/M output

GLM 5.2

byZ-AI1.05M context$1.26/M input$3.96/M output

GPT 5.1 Chat Latest

byOpenAI$1/M input$8/M output

Qwen3.7 Max

byQwen1M context$0.36/M input$1.44/M output

DeepSeek v4 Flash

byDeepSeek1.05M context$0.3/M input$1.2/M output

Grok 4.3

byGrok1M context$0.75/M input$1.5/M output

GPT 5.4 Pro

byOpenAI1.05M context$24/M input$144/M output

Kimi K2.6

byMoonshotAI262K context$0.855/M input$3.6/M output

Minimax M2.5

byMiniMax205K context$0.24/M input$0.96/M output

Kimi K2.5

byMoonshotAI262K context$0.54/M input$2.7/M output

Doubao Seed 1.6 Thinking (Build 250715)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Thinking (Build 250615)

byBytedance262K context$0.0971/M input$0.9714/M output

Doubao Seed 1.6 Flash (Build 250615)

byBytedance262K context$0.0182/M input$0.1821/M output

Model					Input → Output
O3 MiniCurrent $		200K	$0.77 / $3.08 per 1M	$0.39 / $0.39 per 1M	Input: Text Output: Text
DeepSeek Flash $	—	—	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
Hy4 Preview $		1.05M	$0.79 / $2.38 per 1M	— / $0.04 per 1M	Input: Text Output: Text
GPT 6 Astra $		1.05M	$8.00 / $40.00 per 1M	$10.00 / $0.80 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.8 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
Claude Fable 5.1 $		1M	$9.00 / $45.00 per 1M	$11.25 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.8 Max 0902 $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text
GLM 5.3 Flash $	—	1.31M	$0.15 / $0.50 per 1M	— / $0.03 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
DeepSeek v4 Flash Vision Exp $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: TextInput: Image Output: Text
GLM 5.3 $		1.31M	$1.26 / $3.96 per 1M	— / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.7 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.6 $		500K	$1.20 / $3.60 per 1M	— / $0.30 per 1M	Input: TextInput: Image Output: Text
Qwen3.8 Max $		1M	$1.80 / $5.40 per 1M	$2.25 / $0.23 per 1M	Input: TextInput: ImageInput: VideoInput: Document Output: Text
Claude Opus 5 $		1M	$4.50 / $22.50 per 1M	$5.63 / $0.45 per 1M	Input: TextInput: ImageInput: Document Output: Text
Gemini 3.6 Flash $		1.05M	$0.90 / $4.50 per 1M	$0.60 / $0.09 per 1M	Input: TextInput: ImageInput: Document Output: Text
Kimi K3 $		1.05M	$2.70 / $13.50 per 1M	$0.27 / $0.27 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Luna $		1.05M	$0.16 / $0.96 per 1M	$0.20 / $0.02 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Terra $		1.05M	$1.60 / $9.60 per 1M	$2.00 / $0.16 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.6 Sol $		1.05M	$3.20 / $16.00 per 1M	$4.00 / $0.32 per 1M	Input: TextInput: ImageInput: Document Output: Text
Grok 4.5 $		500K	$1.20 / $3.60 per 1M	$0.30 / $0.30 per 1M	Input: TextInput: Image Output: Text
Claude Sonnet 5 $		1M	$1.80 / $9.00 per 1M	$2.25 / $0.18 per 1M	Input: TextInput: Document Output: Text
Minimax M3 $		1.05M	$0.48 / $0.96 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
GLM 5.2 $		1.05M	$1.26 / $3.96 per 1M	$0.23 / $0.23 per 1M	Input: TextInput: ImageInput: Document Output: Text
GPT 5.1 Chat Latest $		—	$1.00 / $8.00 per 1M	$0.10 / $0.10 per 1M	Input: TextInput: ImageInput: Document Output: Text
Qwen3.7 Max $		1M	$0.36 / $1.44 per 1M	$0.07 / $0.07 per 1M	Input: TextInput: Document Output: Text
DeepSeek v4 Flash $	—	1.05M	$0.30 / $1.20 per 1M	— / $0.006 per 1M	Input: Text Output: Text
Grok 4.3 $		1M	$0.75 / $1.50 per 1M	$0.12 / $0.12 per 1M	Input: TextInput: Image Output: Text
GPT 5.4 Pro $		1.05M	$24.00 / $144.00 per 1M	—	Input: TextInput: ImageInput: Document Output: Text
Kimi K2.6 $		262K	$0.85 / $3.60 per 1M	$0.14 / $0.14 per 1M	Input: TextInput: Document Output: Text
Minimax M2.5 $		205K	$0.24 / $0.96 per 1M	$0.30 / $0.02 per 1M	Input: TextInput: Document Output: Text
Kimi K2.5 $		262K	$0.54 / $2.70 per 1M	$0.09 / $0.09 per 1M	Input: TextInput: Document Output: Text
Doubao Seed 1.6 Thinking (Build 250715) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Thinking (Build 250615) $		262K	$0.10 / $0.97 per 1M	—	Input: TextInput: Image Output: Text
Doubao Seed 1.6 Flash (Build 250615) $		262K	$0.02 / $0.18 per 1M	—	Input: TextInput: Image Output: Text

Mastering Complex Logic with o3-mini/text-to-text

Unlock the power of the o3-mini/text-to-text reasoning model to solve intricate coding, math, and logic problems with unprecedented speed. Start building now at GPT Proto.

The Evolution of Efficient Reasoning

In the rapidly shifting landscape of artificial intelligence, the o3-mini/text-to-text model emerges as a critical tool for developers who require deep cognitive processing without the overhead of massive parameter counts. While traditional models often prioritize creative breadth, o3-mini/text-to-text is purpose-built for depth. It tackles the 'reasoning gap' where standard LLMs fail, particularly in multi-step logical deductions and complex algorithmic challenges. On GPT Proto, we ensure that o3-mini/text-to-text operates with maximum throughput, allowing for real-time interaction in applications that demand both intelligence and agility.

Optimizing Software Engineering Workflows

Software development is one of the primary domains where o3-mini/text-to-text truly shines. When tasked with debugging a complex microservices architecture, o3-mini/text-to-text doesn't just predict the next token; it evaluates the logical flow of the code. We have found that when using o3-mini/text-to-text for refactoring legacy Python scripts, the model provides more concise and security-conscious suggestions compared to its predecessors. For teams integrating this into their CI/CD pipelines on GPT Proto, the efficiency gains in automated code reviews are measurable and immediate.

Advanced Scientific and Mathematical Analysis

Scientific researchers utilize o3-mini/text-to-text to parse through dense datasets and hypothesize chemical reactions or physical simulations. The o3-mini/text-to-text model's internal reasoning chain allows it to verify mathematical proofs step-by-step, ensuring that the final output is logically sound. This makes o3-mini/text-to-text an essential partner for academic institutions and R&D departments that rely on GPT Proto for high-uptime access to cutting-edge inference engines.

"The architectural efficiency of o3-mini/text-to-text bridges the gap between 'fast AI' and 'smart AI,' providing a level of logical rigor that was previously reserved for much larger, slower models."

Why Deploy o3-mini/text-to-text on GPT Proto?

Deploying o3-mini/text-to-text on GPT Proto provides a distinct competitive advantage. Our infrastructure is tuned specifically for the reasoning patterns of o3-mini/text-to-text, ensuring that the model's 'thinking' phase does not translate into unnecessary user wait times. Furthermore, GPT Proto provides comprehensive monitoring tools and a unified API that simplifies the management of o3-mini/text-to-text across different environments. Detailed documentation for these integrations can be found at docs.gptproto.com.

Feature	Standard Models	o3-mini/text-to-text on GPT Proto
Reasoning Capability	Pattern Matching	Deep Chain-of-Thought
Coding Proficiency	Moderate	Expert-Level Debugging
Inference Speed	Variable	Optimized Low Latency
Context Window	128k	128k with Precise Retrieval
Billing Transparency	Complex Credits	Simple Balance Top-up

Transparent Usage and Scalable Pricing

We believe in a friction-less experience for developers. To use o3-mini/text-to-text, you will never have to deal with confusing 'credit' systems. Instead, simply Top-up Balance or Add Funds to your account. This 'pay-as-you-go' approach ensures you only pay for the exact resources o3-mini/text-to-text consumes. You can monitor your real-time usage and manage your Recharge Amount directly through the GPT Proto dashboard. This transparency allows for better budgeting and scaling of your o3-mini/text-to-text powered projects.

As AI continues to evolve, staying updated with the latest advancements in models like o3-mini/text-to-text is vital. Explore our deep dives and community case studies on our official blog to see how others are leveraging o3-mini/text-to-text to redefine what is possible in automated reasoning.

Expert Guidance: Common Queries About o3-mini/text-to-text

Explore the most frequent technical questions regarding the deployment and optimization of o3-mini/text-to-text on the GPT Proto platform.

What makes o3-mini/text-to-text different from GPT-4o?

While GPT-4o is a versatile multimodal model, o3-mini/text-to-text is specifically optimized for high-speed reasoning and STEM-focused logic, providing faster and more accurate results for complex problem-solving on GPT Proto.

How do I manage billing for o3-mini/text-to-text usage?

On GPT Proto, you simply Add Funds to your account. There are no credits; your o3-mini/text-to-text usage is deducted directly from your balance in a transparent manner.

Is o3-mini/text-to-text suitable for real-time coding assistants?

Yes, o3-mini/text-to-text is exceptionally well-suited for coding due to its specialized reasoning capabilities, which allow it to understand complex logic faster than larger models on GPT Proto.

What is the context window for o3-mini/text-to-text?

The o3-mini/text-to-text model features a 128,000 token context window, allowing for the analysis of extensive documentation and long codebases within a single prompt on GPT Proto.

Does o3-mini/text-to-text support non-English languages?

While optimized for reasoning, o3-mini/text-to-text maintains high proficiency in multiple languages, making it a global solution for logic tasks through the GPT Proto API.

How can I top-up my balance to use o3-mini/text-to-text?

You can Top-up Balance at any time via the GPT Proto dashboard to ensure uninterrupted access to the o3-mini/text-to-text inference engine.

Can o3-mini/text-to-text handle vision or audio tasks?

The o3-mini/text-to-text variant is specifically designed for text-based reasoning; however, its logic can be used to process text descriptions of multimodal data on GPT Proto.

What are the latency benefits of o3-mini/text-to-text?

The o3-mini/text-to-text model is designed for efficiency, delivering reasoning-level intelligence at speeds significantly faster than o1-preview, particularly when hosted on GPT Proto's optimized hardware.

Is there a limit to how much I can recharge for o3-mini/text-to-text?

No, you can set your Recharge Amount to suit your project scale, from small testing phases to large enterprise deployments of o3-mini/text-to-text on GPT Proto.

How does o3-mini/text-to-text handle structured data like JSON?

The o3-mini/text-to-text model is excellent at generating and parsing structured data, ensuring high adherence to JSON schemas required for modern API integrations on GPT Proto.

Where can I find the API documentation for o3-mini/text-to-text?

Detailed technical guides for integrating o3-mini/text-to-text are available at docs.gptproto.com, providing everything you need to get started.

Does GPT Proto provide support for o3-mini/text-to-text integration?

Yes, GPT Proto offers comprehensive support and developer resources to help you maximize the reasoning potential of o3-mini/text-to-text in your specific application.

Mastering Complex Logic with o3-mini/text-to-text

The Evolution of Efficient Reasoning

Optimizing Software Engineering Workflows

Advanced Scientific and Mathematical Analysis

Why Deploy o3-mini/text-to-text on GPT Proto?

Transparent Usage and Scalable Pricing

Expert Guidance: Common Queries About o3-mini/text-to-text

What makes o3-mini/text-to-text different from GPT-4o?

How do I manage billing for o3-mini/text-to-text usage?

Is o3-mini/text-to-text suitable for real-time coding assistants?

What is the context window for o3-mini/text-to-text?

Does o3-mini/text-to-text support non-English languages?

How can I top-up my balance to use o3-mini/text-to-text?

Can o3-mini/text-to-text handle vision or audio tasks?

What are the latency benefits of o3-mini/text-to-text?

Is there a limit to how much I can recharge for o3-mini/text-to-text?

How does o3-mini/text-to-text handle structured data like JSON?

Where can I find the API documentation for o3-mini/text-to-text?

Does GPT Proto provide support for o3-mini/text-to-text integration?

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