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OpenAI: GPT Mini Latest

OpenAI's GPT Mini Latest sits at the efficient end of the GPT family, designed to deliver strong everyday task performance in a smaller, more cost-effective package. The model combines text and image processing with PDF support for inputs, and it layers on reasoning and tool calling capabilities, making it versatile enough for chat-based interfaces, workflow automation, and developer integrations alike. Its architecture is built around a large context window, which allows it to handle lengthy document attachments and maintain coherent multi-turn conversations without losing earlier context.

What sets GPT Mini Latest apart is its post-training lineage reflecting OpenAI's refinement cycles—each iteration tightens alignment and reliability across the model's core capabilities. The comparison data shows it competing on a notably broader context ceiling than many compact models, which can be a practical advantage when summarizing long documents or processing multi-file workflows. It's positioned as an accessible entry point for teams that want OpenAI-backed quality without the cost and latency overhead of larger frontier models, and its tool calling support makes it a natural fit for agentic applications where models need to interact with external systems.

Kilo Gateway~openai/gpt-mini-latestgpt-mini

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Provider
Kilo Gateway
Model key
~openai/gpt-mini-latest
Release date
Apr 27, 2026
Last updated
Apr 27, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.75
Output token cost
$4.50

Limits

Output tokens
128,000 tokens
Context window
400,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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CoverageBenchmark

A catalog snapshot on AI Hippo provides a directly verifiable profile for "OpenAI GPT Mini Latest," the model routed via Kilo's gateway alias ~openai/gpt-mini-latest. The listing confirms multimodal support (text, image, and file inputs), a 400,000-token context window, a knowledge cutoff of 2025-08-31, and API paramet Per the same AI Hippo snapshot (verified 2026-09-05), OpenRouter lists the model at $0.75 per 1M input tokens and $4.50 per 1M output tokens, with a snapshot-average price around $2.63 per 1M tokens. The model is marked "Not ranked" on AI Hippo's board, meaning no benchmark scores or capability rankings are available f

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