GPT-5 Mini

GPT-5 Mini is OpenAI's lighter entry in the gpt-mini family, positioned as a cost-conscious counterpart to the full GPT-5 reasoning line for real-time applications and agents. It is designed to bring strong multi-step problem solving, tool use, and structured output behavior into workloads where latency and budget matter more than the deepest analytical reach of the flagship. The combination of native image and PDF input alongside reasoning and tool-calling capabilities makes it a versatile workhorse for assistants that must read mixed documents, reason over them, and act on results.

Microsoft's Azure AI Foundry announcement frames the GPT-5 series as pairing frontier reasoning with efficient generation, and GPT-5 Mini is explicitly aimed at powering real-time experiences and agentic flows that need tool calling to solve customer problems. Its multimodal front end and support for structured outputs give builders a reliable middle ground between lightweight classifiers and heavyweight reasoning engines. In practice, it fits naturally into customer-facing chat, retrieval-augmented assistants, document-understanding pipelines, and agent prototypes where dependable reasoning and tool orchestration are required without flagship-level cost.

OpenAIgpt-5-minigpt-mini

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Quick Info

Provider: OpenAI
Model key: gpt-5-mini
Release date: Aug 7, 2025
Last updated: Aug 7, 2025
Knowledge cutoff: 2024-05-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.25
Output token cost: $2.00

Limits

Input tokens: 272,000 tokens
Output tokens: 128,000 tokens
Context window: 400,000 tokens

OpenCode

Model variants

Fast

Input

$0.45

per 1M tokens

Output

$3.60

per 1M tokens

Cache Read

$0.045

per 1M tokens

Flex

Input

$0.125

per 1M tokens

Output

$1.00

per 1M tokens

Cache Read

$0.0125

per 1M 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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Latest news about GPT-5 Mini

OpenAI

CoverageBenchmark

Among the four models compared, GPT-5.4 is the slowest and most expensive. Accuracy vs estimated cost for GPT-5.4 models and GPT-5 mini. The ...

DevPass (LLM Gateway)

CoverageBenchmark

The Magica profile for GPT-5 Mini, attributed to OpenAI, lists a 400K token input context window with a 128K output token limit, released on August 7, 2025 with a reported knowledge cutoff of May 31, 2024. API pricing is $0.25 per million input tokens and $2.00 per million output tokens, with additional costs of $0.01 Feature support includes function calling, structured output, reasoning mode (always enabled with configurable effort at High, Medium, Low, or Minimal, defaulting to Medium), and content moderation. Artificial Analysis indices report Intelligence 17.4, Coding 15.6, and Agentic 8.9, with a best Design Arena Elo score of

DevPass (LLM Gateway)

CoverageBenchmark

The AI Release Tracker has logged 44 OpenAI model releases from GPT-3.5 (November 30, 2022) through GPT-6 Astra (September 3, 2026), with OpenAI shipping a new model approximately every 37 days. The next projected release is around Thursday, October 8, 2026. The tracker's strongest recorded results include GPQA Diamond The 2026 release slate includes 14 models: GPT-6 Astra (September 3), GPT-5.6-Cyber (August 10), GPT-5.6 Sol, Terra, and Luna (June 26), GPT-5.5-Cyber (June 22), GPT-5.5 and GPT-5.5-Pro (April 23), and GPT-5.4 mini (March 17). OpenAI most commonly ships on Thursdays (17 releases), with no releases logged on weekends, p

DevPass (LLM Gateway)

CoverageRelease Notes

OpenAI announced GPT-5.4 mini and GPT-5.4 nano as smaller models targeting high-volume workloads, extending the capabilities of GPT-5.4 into more efficient formats. The release was communicated via a LinkedIn post from OpenAI for Business and targets use cases including coding assistants, subagents, and real-time multi According to OpenAI, GPT-5.4 mini improves on GPT-5 mini across coding, reasoning, multimodal understanding, and tool use while running more than 2x faster, approaching the performance of the larger GPT-5.4 on evaluations such as SWE-Bench Pro and OSWorld-Verified. GPT-5.4 nano is described as the smallest and cheapest