Aug 29, 2024 · you are here
Mini-Omni 0.5BNot publicly ranked · Price not listed
Model profile · gpt-omni
Released Aug 29, 2024 — see all recent releases
Data as of August 4, 2026 · How the score is built
VoiceBench is an owner-defined voice evaluation. Its result stays separate from BenchLM's weighted text-model ranking.
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.
Estimate VRAM from known parametersThe sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Aug 29, 2024 · you are here
Mini-Omni 0.5BNot publicly ranked · Price not listed
Base entry
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Mini-Omni 0.5B, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Mini-Omni 0.5B is a open weight model with a N/A context window. No explicit reasoning mode is documented in this profile.
Published weights or implementation resources are linked from the model card.
Mini-Omni 0.5B is tracked because it appears in voicebench, adu-bench. Voice-protocol results remain separate from BenchLM's weighted text-model ranking.
The profile has no source-displayable benchmark row yet.
Mini-Omni 0.5B does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Mini-Omni 0.5B is an open-weight model from gpt-omni. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
No. Mini-Omni 0.5B currently has 0 source-displayable rows across 381 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
Mini-Omni 0.5B has a reported context window of N/A in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Related resources
Last updated August 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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