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Model details

OpenAI GPT-5 Mini

GPT-5 Mini represents OpenAI's compact flagship model within the GPT-5 series, built on a dense transformer architecture with 100 billion parameters. The model operates as a unified system with multi-stage routing protocols that dynamically adjust reasoning effort based on query complexity, directing computational resources toward relevant tokens through sparse attention mechanisms. Native multimodal support enables simultaneous processing of text and image inputs, making it well-suited for document analysis, visual question answering, and code generation workflows without requiring separate vision components.

This compact variant prioritizes lower latency and resource efficiency, functioning as a fallback option when full reasoning depth isn't required. Beyond general API access, GPT-5 Mini has become embedded across development workflows through GitHub Copilot, where it is available across all plan tiers. Source comparisons indicate meaningful improvements in coding, reasoning, tool use, and multimodal understanding over earlier iterations, positioning it as a practical entry point for developers seeking strong reasoning capability in a lighter package.

DigitalOceanopenai-gpt-5-minigpt-mini

Quick Info

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Provider
DigitalOcean
Model key
openai-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

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

Transparent token rates

Compare OpenAI GPT-5 Mini pricing

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

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Latest news about OpenAI GPT-5 Mini

DigitalOcean

CoverageBenchmark

This Benchgen model card covers OpenAI's GPT-5 mini as the cost-efficient member of the GPT-5 family, released on August 7, 2025. It reports a 19.44% score on Humanity's Last Exam — described as comparable to o3's 20.32% and a generational leap from GPT-4o mini, which scored near 0% on the same benchmark at launch. The Key specifications on the page describe GPT-5 mini as multimodal with an updated knowledge cutoff of June 2025 (compared to GPT-4o mini's October 2023), and as a proprietary API-only release from OpenAI. Parameters, context window, and pricing are listed as undisclosed at the page's last update, and the card notes GPT-

DigitalOcean

CoverageBenchmark

The Roboflow Playground page for OpenAI GPT-5 Mini confirms an August 7, 2025 release and describes it as a mid-tier variant of the GPT-5 family balancing cost, speed, and capability. It lists the model as multimodal with text and image inputs, a 400,000-token input context window, and up to 128,000-token outputs. The Pricing on the page is $0.25 per 1M input tokens and $2.00 per 1M output tokens, with a 73.13% pass rate across 67 legacy Visual Understanding tasks (ranking 15th of 77 models, better than 81%). Average latency is reported at 11.72 seconds per task with a cost of $0.0006 per task. Roboflow frames GPT-5 Mini as outperfo

DigitalOcean

CoverageBenchmark

The timetoact Summer 2025 LLM Benchmarks leaderboard includes an explicit row for openai/gpt-5-mini-2025-08-07, placing the model at a composite 76.7% score with sub-scores of 54% compliance, 70% code, 93% reason, and 74% on the bio/biomedical category. The same table lists full GPT-5 (gpt-5-2025-08-07) higher at 79.4% Beyond the GPT-5 mini row, the leaderboard situates the model against peers including x-ai/grok-4 (79.4%), google/gemini-2.5-pro-preview-06-05 (73.9%), anthropic/claude-3.7-sonnet:thinking (70.4%), and openai/gpt-oss-120b (75.0%). The page frames GPT-5 mini's August 2025 release as part of a broader OpenAI lineup push,

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