Gemma 3 27B for real-time video queries
Gemma 3 27B · Google DeepMind · Multimodal · Open-weight
Gemma 3 27B is Google DeepMind's multimodal flagship from the Gemma 3 generation, released in March 2025 with a SigLIP vision encoder and support for more than 140 languages. Gemma 3 27B is not currently in Overshoot's live model catalog, though its Gemma 4 successors are. When a model is available through the API, a live camera or screen-share stream can be queried through the same OpenAI-compatible chat-completions interface used for static images.
Gemma 3 27B is not currently in the live Overshoot model catalog (verified against the live model catalog on 2026-07-14). Availability changes over time - query GET /v1beta/models for the current list.
- Developer
- Google DeepMind
- Parameters
- 27B dense
- Context window
- 128K tokens
- License
- Gemma Terms of Use
- Released
- Mar 2025
- Vision encoder
- SigLIP
- Overshoot availability
- Not in live catalogas of 2026-07-14
What Gemma 3 27B is good at
The SigLIP vision encoder gives Gemma 3 27B strong grounding on fine visual detail, which shows up in tasks like reading small text in a frame, describing cluttered scenes, and answering questions about spatial relationships between objects. It handles single images and short sequences of frames well.
Support for 140+ languages makes it a practical choice for multilingual products that need to describe or answer questions about video for users outside English-speaking markets, without switching to a separate model per locale.
- Fine-grained visual detail and small on-screen text
- Multilingual visual question answering across 140+ languages
- General scene description for camera and screen-share feeds
Gemma 3 27B and Overshoot's live video API
Gemma 3 27B is not currently in Overshoot's live model catalog. The catalog changes over time, and GET /v1beta/models is the authoritative list; its successors Gemma 4 31B and Gemma 4 26B-A4B are served on Overshoot's hosted fast path, so teams that want a Gemma model on live video today have a direct path.
On Overshoot, you publish a video track over WebRTC through LiveKit to open a Stream, then send a chat-completions request whose image_url or video_url is an ovs:// reference. The platform retains 600 seconds of frame history, so a reference can point at the latest frame, an exact timestamp, or a recent segment sampled at up to 1 fps, with answers streamed token by token over SSE and a consistent thread_id keeping prompt cache hits across repeated questions.
How it compares to Gemma 4
Gemma 3 27B predates the Gemma 4 line and sits a generation behind Gemma 4 31B and Gemma 4 26B-A4B in raw capability, but it remains a solid, well-understood choice with a mature ecosystem and the same 128K context window as its successors. Teams already deployed on Gemma 3 27B can typically move to Gemma 4 31B for a capability upgrade without changing how they structure requests.
Frequently asked questions
Can Gemma 3 27B analyze live video?
Gemma 3 27B handles single images and short frame sequences well, so the model can reason about frames sampled from live video. It is not currently in Overshoot's live model catalog; the catalog changes over time, so check GET /v1beta/models. Its Gemma 4 successors are hosted on Overshoot for live WebRTC streams.
Is Gemma 3 27B open weight?
Yes. It ships under the Gemma Terms of Use, allowing weights to be downloaded and self-hosted under Google's usage conditions.
Is Gemma 3 27B available on Overshoot?
Not currently. Gemma 3 27B is not in Overshoot's live model catalog at the moment; the catalog changes over time, and GET /v1beta/models returns the current list. The hosted lineup does include its successors Gemma 4 31B (google/gemma-4-31B-it) and Gemma 4 26B-A4B (google/gemma-4-26B-A4B-it).
What languages does Gemma 3 27B support?
Gemma 3 27B was trained with support for more than 140 languages, which makes it a reasonable default for multilingual visual question answering rather than needing a separate model per locale.