Consistency Decoder
Developed by OpenAI, the Consistency Decoder is a decoder designed to enhance decoding for Stable Diffusion VAEs. It is genuinely best at improving the decoding process, as evidenced by its application in the DALL-E 3 technical report.
Input
Output
Context
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Max Output
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Parameters
655.4M
Technical Specifications
Input Modalities
Output Modalities
Capabilities
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Resources & Links
Estimated GPU requirements for Consistency Decoder
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Frequently asked questions about Consistency Decoder
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
OpenAI has not published a context window for Consistency Decoder, so the catalog shows it as not available rather than estimating one.
Yes. Consistency Decoder is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
Consistency Decoder accepts Image and produces Image. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Consistency Decoder is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Consistency Decoder is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 1.1 GB at INT8 for the weights and a default context, from the catalog's 655.4M parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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