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Model details
GPT-5 Mini (OpenAI)
GPT-5 Mini is positioned by OpenAI as a faster, more cost-efficient variant within its GPT-5 family, optimized for precise prompts and well-defined tasks rather than broad open-ended work. According to the GitHub Copilot changelog, it delivers lower latency and lower cost while maintaining strong performance on focused coding and editing tasks, which aligns it with developer-assistant and agentic workflows where quick, accurate responses matter more than deep multi-step reasoning. OpenAI's official documentation page for the model is linked as the canonical reference for its capabilities and recommended usage patterns.
In practical terms, GPT-5 Mini is best suited to high-volume text pipelines and budget-sensitive deployments where predictable speed and price take priority. A subsequent third-party comparison notes that OpenAI has since introduced GPT-5.4 Mini, with OpenAI's own model page steering most new low-latency, high-volume workloads toward that newer release, leaving GPT-5 Mini as a sensible choice for stable, tool-light, strongly cost-conscious workloads that do not need the broader tool stack or updated knowledge cutoff of its successor.
Quick Info
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- LLM Gateway
- 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
- Input tokens
- 272,000 tokens
- 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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