Gemini 3.8 Live

SyncDev model directory · Profile updated Oct 7, 2026

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Gemini 3.8 Live is Google's model for interactive audio conversations with text, image, audio and video input. Its Live API response modality is audio; text is available through transcription.

Key specifications

Specification score
74.3
Context window
131.07K
Max output
65.54K
License
Provider terms

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input

Produces

  • Audio output
  • Text output

Capabilities

ReasoningFunction callingVisionAudioStreaming

What is Gemini 3.8 Live?

Gemini 3.8 Live is Google's model for interactive audio conversations with text, image, audio and video input. Its Live API response modality is audio; text is available through transcription.

Choose it for a conversation

Live is relevant when an application must listen and respond during an ongoing session. It uses a bidirectional connection and supports asynchronous function calls. This is a different integration from sending a prompt to Gemini Flash and waiting for a text response.

Session limits and output

The documented input allowance is 131,072 tokens and the output allowance is 65,536 tokens. It does not provide structured JSON output, code execution or ordinary prompt caching. Do not substitute it for a text model merely because the version numbers match.

Test the interaction

Measure response onset, interruptions, recovery after a connection failure and whether the agent resumes the right task after a tool result arrives. Include noisy microphones, accents and users who correct themselves halfway through a request. Check both audio and transcript handling in the finished interface.

Budget by modality

The pricing schedule separates audio and text tokens. A single input/output text rate would misrepresent a voice session, so this profile leaves that combined price unset. Inspect the current source pricing before estimating a session budget. Compare Google's models or browse the audio collection.

How to evaluate Gemini 3.8 Live

Compare the model on the work you need to complete.

Tasks and inputs

Gemini 3.8 Live is listed for Audio-to-audio. It accepts text, image, audio, video and produces audio, text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Documented limits: 131.07K context and 65.54K maximum output. Compare pronunciation, voice consistency and time to the first playable audio. Check the service’s billing unit for the actual script.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

Check the publisher documentation, exact model or checkpoint ID, runtime compatibility and current access terms. Test representative inputs and record failures, latency and total cost before changing a production route.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

Alibaba

Qwen-Audio-3.1-Realtime-Plus

Qwen-Audio-3.1-Realtime-Plus supports duplex speech conversation, voice cloning, tools and a 262K-token context through its realtime interface.

262.14K context

Aratako

Aratako/MioCodec-25Hz-24kHz

Aratako/MioCodec-25Hz-24kHz is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

Aratako

Aratako/MioCodec-25Hz-44.1kHz-v2

Aratako/MioCodec-25Hz-44.1kHz-v2 is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/DeepFilterNet3-CoreML

aufklarer/DeepFilterNet3-CoreML is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/PersonaPlex-7B-MLX-4bit

aufklarer/PersonaPlex-7B-MLX-4bit is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context

aufklarer

aufklarer/Sidon-CoreML

aufklarer/Sidon-CoreML is a source-linked Hugging Face repository assigned to Audio-to-audio. Its recorded task interface accepts audio and produces audio.

— context