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Google: Gemini 3.1 Flash Lite (batch)

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and is designed for lightweight agentic...

Anyone in the Project can @-mention Google: Gemini 3.1 Flash Lite (batch) with the team's shared context - pooled credits, one chat, one memory.

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Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.

Verdict

Gemini 3.1 Flash Lite (batch) trades real-time responsiveness for cost efficiency, delivering multimodal processing at $0.13/Mtok input — roughly 75% cheaper than standard Flash variants. The million-token context window handles large documents, video files, and audio transcripts in a single pass. Best for teams running scheduled analysis jobs where 24-hour turnaround is acceptable and budget matters more than instant results.

Best for

Overnight batch processing of documents
Cost-sensitive video content analysis
Large-scale audio transcription jobs
Scheduled multimodal data pipelines
Budget-constrained research workflows

Strengths

The batch pricing model cuts input costs to $0.13/Mtok, making it the cheapest way to access Gemini's multimodal capabilities for non-urgent work. The 1M token context window ingests feature-length videos, multi-hour audio recordings, or 500-page PDFs without chunking. Supports text, image, video, file, and audio inputs in a single API call, eliminating the need to route different media types to specialized models.

Trade-offs

Batch processing introduces 24-hour maximum latency — requests queue and return when capacity allows, making this unsuitable for interactive applications or user-facing features. No public benchmarks yet means performance relative to Claude, GPT-4o, or standard Gemini Flash remains unverified. The 'Lite' designation suggests capability cuts versus full Flash, though Google hasn't published specifics on accuracy or reasoning depth differences.

Specifications

Provider: google
Category: llm
Context length: 1,048,576 tokens
Max output: 65,536 tokens
Modalities: text, image, video, file, audio
License: proprietary
Released: 2026-05-07

Pricing

Input: $0.13/Mtok
Output: $0.75/Mtok
Model ID: google/gemini-3.1-flash-lite:batch

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Seats5 peopleMessages / seat / day80Avg turn size2 ktokOutput share30 %

Estimated monthly spend

$5.50

17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

Provider-level routing data is not available yet for this model.

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Projects have used this model yet to share anonymised team stats. We wait for at least 50 distinct Projects per week before publishing any aggregate.

Starter prompts

Video Content Summary

Watch this video and create a structured summary with: 1) main topics discussed, 2) timestamp for each topic change, 3) three key takeaways. Format as a bulleted list.

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Multi-Document Synthesis

I've uploaded five research papers. Identify the three most-cited methodologies across all papers, then explain where the authors disagree on implementation details.

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Audio Transcript Analysis

Transcribe this podcast episode and create a table with: speaker name, timestamp, topic discussed, and action items mentioned. Include a one-paragraph executive summary at the top.

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Batch Image Classification

I've attached 50 product photos. For each image, return: product category, primary color, whether a person appears, and estimated retail price tier (budget/mid/premium). Output as CSV.

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Cross-Modal Report Generation

Using the uploaded quarterly sales spreadsheet, product photos, and strategy memo, write a 500-word board presentation that connects financial performance to product positioning. Include specific numbers and reference visual elements.

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