OpenAI: o4-mini:free

o4-mini:free
200K context100K outReasoningToolsVisionFilesCacheStructured
Released Apr 16, 2025Knowledge cutoff 2024Updated Apr 16, 2025

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning and coding performance across benchmarks like AIME (99.5% with Python) and SWE-bench, outperforming its predecessor o3-mini and even approaching o3 in some domains. Despite its smaller size, o4-mini exhibits high accuracy in STEM tasks, visual problem solving (e.g., MathVista, MMMU), and code editing. It is especially well-suited for high-throughput scenarios where latency or cost is critical. Thanks to its efficient architecture and refined reinforcement learning training, o4-mini can chain tools, generate structured outputs, and solve multi-step tasks with minimal delay—often in under a minute.

Mode chatTokenizer GPTModerated

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Pricing

Input price
$0.00/ 1M tokens
Output price
$0.00/ 1M tokens
Context window 200K tokensCompatible endpoints openaiVendor OpenAI

Performance

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Usage & Ranking

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Supported parameters

All providers = every upstream serving this model supports it. Some providers = depends on which upstream handles the request. Default = the value sent when you leave the parameter unset.

ParameterProvidersDefault
include_reasoningAll providers-
max_tokensAll providers-
reasoningAll providers-
response_formatAll providers-
seedAll providers-
structured_outputsAll providers-
tool_choiceAll providers-
toolsAll providers-

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