vcruz305
GLM-5.3-Flash-NVFP4 is a open-weight vcruz305 llm model with a 1,048,576 token context window.
Running this yourself: can likely run on your own machine.
Live access is not confirmed for this model. No current purchase price is advertised.
No current subscription pricing is tracked for this model.
Confirm this specific model, usage limits, and billing terms with the provider. A subscription does not automatically include API credits.
No login needed to compare. Prices are in USD; provider charges are separate from AI Market Cap plans. Context length, caching, tools, taxes, and regional terms can change the final cost. Open weights do not mean free hosting.
---
Quality Score
---
Arena ELO
Unknown
Parameters
1M
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
12 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
Sign in to join the discussion
1.2K
Downloads
3
Likes
Aug 2026
Released
3/5 signals
1/4 signals
3/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
nvidia/GLM-5.3-Flash-NVFP4 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for GLM-5.3-Flash-NVFP4.
View sourcenvidia/GLM-5.3-Flash-NVFP4 · Hugging Face
NVIDIA published benchmark or leaderboard evidence for GLM-5.3-Flash-NVFP4.
View source