Specifications
Context Window
128K tokens
Input Price/1M
$0.07
Output Price/1M
$0.30
Parameters
—
Max Output
16K tokens
Benchmarks
OpenAI: GPT-4o-mini (batch) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 11.4 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 6.7 | 100.0 | Artificial Analysis official API |
Information
- Release date
- July 18, 2024
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: OpenAI: GPT-4o-mini (batch)
What is OpenAI: GPT-4o-mini (batch)?
OpenAI: GPT-4o-mini (batch) 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 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
OpenAI: GPT-4o-mini (batch) is usage-based, priced at $0.075/1M input tokens and $0.3/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
OpenAI: GPT-4o-mini (batch) was evaluated on 2 different benchmarks, covering categories like Coding, overall. Results show moderate 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
OpenAI: GPT-4o-mini (batch) is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, OpenAI: GPT-4o-mini (batch) 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 OpenAI: GPT-4o-mini (batch)?
OpenAI: GPT-4o-mini (batch) is an AI model developed by OpenAI. It is a language model (LLM), with multimodal support (text, image and more).
How much does OpenAI: GPT-4o-mini (batch) cost?
OpenAI: GPT-4o-mini (batch) costs $0.075/1M input tokens and $0.3/1M 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 OpenAI: GPT-4o-mini (batch) compare with other models?
In available benchmarks, OpenAI: GPT-4o-mini (batch) scored: AA Coding Index: 11.4/100, AA Intelligence Index: 6.7/100. See the full table above for a detailed comparison.
Is OpenAI: GPT-4o-mini (batch) open source?
No, OpenAI: GPT-4o-mini (batch) is a proprietary model from OpenAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is OpenAI: GPT-4o-mini (batch) best for?
OpenAI: GPT-4o-mini (batch) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.
Last updated: August 10, 2026 • View methodology →