Models | OpenRouter

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This is a cloaked model provided to the community to gather feedback. It's an all-purpose model supporting real-world, long-context tasks including code generation. Note: All prompts and completions for this model are logged by the provider and may be used to improve the model and other products and services. You remain responsible for any required end user notices and consents and for ensuring that no personal, confidential, or otherwise sensitive information, including data from individuals under the age of 18, is submitted. ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in both English and Chinese. Optimized for high-throughput inference and efficient scaling, it uses a heterogeneous MoE structure with advanced routing and quantization strategies, including FP8 and 2-bit formats. This version is fine-tuned for language-only tasks an

47.6M tokens by inference-netSep 12, 2026128K context$0.03/M input tokens$0.15/M output tokens 10.6M tokens by inference-netSep 12, 2026128K context$0.05/M input tokens$0.23/M output tokens 592K characters by metaSep 11, 2026$0.18/hour by openaiSep 11, 20261.05M context$10/M input tokens$50/M output tokens by openaiSep 11, 20261.05M context$2/M input tokens$10/M output tokens by openaiSep 11, 20261.05M context$2/M input tokens$12/M output tokens by openaiSep 11, 20261.05M context$0.20/M input tokens$1.20/M output tokens 514M tokens Fugu Ultra v2 is the higher-performance model in…

Models | OpenRouter

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