What the vendor claims, next to what independent boards measured. The two are never mixed in one column.
OpenRouter does not list this model, so there is no price or context window here.
Quoted word for word from the vendor's own launch post or model card. Claims, not measurements.
| Benchmark | Claimed | Source |
|---|---|---|
MTEB CodeThe source says: delivering a significant 9.92-point improvement on code performance (in MTEB Code, from 68.76 to 78.68) | 78.68 | Google DeepMind · Oct 6From Drop #009 · Wed, Oct 7 · Morning |
Measured by Epoch AI or LMArena, not by the vendor. "Listed as" is the source's own name for the model, so you can check our match.
No independent results yet. They appear here as Epoch AI and LMArena add this model.
Google DeepMind says it maps text, code, images, audio and video into one space, needs about 191MB of active RAM for text when quantized, and ships under Apache 2.0.
Why it matters: It brings search and RAG on device, without sending data out. Google says its MTEB Code score rose from 68.76 to 78.68.
From Drop #009 · Wed, Oct 7 · Morning