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OpenAI | OpenRouter

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The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently better answers. Note that BYOK is required for this model. Set up here: https://openrouter.ai/settings/integrations codex-mini-latest is a fine-tuned version of o4-mini specifically for use in Codex CLI. For direct use in the API, we recommend starting with gpt-4.1. OpenAI o4-mini-high is the same model as o4-mini with reasoning_effort set to high. 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 accura

OpenAI | OpenRouter OpenAI Browse models provided by OpenAI ( Terms of Service ) 72 models Tokens processed on OpenRouter OpenAI: GPT-5.6 Luna Pro GPT-5.6 Luna Pro GPT-5.6 Luna Pro is the same underlying model as GPT-5.6 Luna , served with reasoning.mode set to pro for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode by openai Jul 9, 2026 1.05M context $ 1 /M input tokens $ 6 /M output tokens OpenAI: GPT-5.6 Luna GPT-5.6 Luna GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It

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