This model card is for the new versions of the Gemma 4 family optimized with Quantization-Aware Training (QAT), which allows preserving similar quality to bfloat16 while dramatically reducing the memory requirements to load the model.
Running this yourself: likely needs a rented cloud gpu.
Live access is not confirmed for this model. No current purchase price is advertised.
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56.1
Quality Score
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Arena ELO
31B
Parameters
262K
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.
17 of 22 public signals
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650.9K
Downloads
67
Likes
Jun 2026
Released
4/5 signals
3/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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Public pricing, no login required. Rates are in USD and billed by the provider, separately from AI Market Cap data plans. Confirm billing cycle, taxes, usage caps, and specific model availability before purchasing. A subscription does not automatically include API credits; context length, caching, and tools can change usage costs.
Free access notes: Free tier: 30 RPM
No pricing data available yet.