Gemini 3.7 Flash (batch)
Gemini 3.7 Flash · Batch tier (Batch)
Asynchronous batch tier: discounted offline batch requests with high throughput and relaxed latency — ideal for large-scale non-real-time workloads.
Best for: Large-scale offline inference, cost-sensitive batch jobs, backfills
This page covers the Gemini 3.7 Flash Batch tier, sharing the underlying model capability with its real-time standard tier; the main difference is in billing mode and invocation method. See the Gemini 3.7 Flash standard real-time tier.
Provider：Google
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Key specs
- Context：1M
- Max output：65.5K
- Tokenizer：Gemini
- Released：2026-08-13
Token pricing
- Input price：$0.188 / 1M tokens
- Output price：$0.938 / 1M tokens
- Cache read：$0.019 / 1M tokens
- Cache write：$0.021 / 1M tokens
- Blended price：$0.375 / 1M tokens
- Image price：$0.0002 / image
Modalities
Text, Image, Video, File, Audio
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.0075/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0056/call）
- Voice Interaction：Speech recognition & transcription, mixed CN/EN and dialect support — meeting notes, QA.
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Low input + output price: solid fit for high-frequency calls and batch processing.
- Long context (>=1M tokens): well-suited for long-doc QA, code-base analysis, multi-turn agents.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
- Multimodal (text+image): fit for image captioning, OCR, chart QA, vision-grounded reasoning.
- Audio support: fit for speech-to-text / voice agent / transcript analysis.
- Video input support: fit for video understanding, frame QA, content moderation.
- File / PDF input support: fit for document parsing, contract review, RAG over private data.
FAQ
- What is the token pricing of Gemini 3.7 Flash (batch)? Input price $0.188 / 1M tokens, output price $0.938 / 1M tokens, blended about $0.375 / 1M tokens. Refer to Google’s official page for the exact rate.
- What context window does Gemini 3.7 Flash (batch) support? Context window is 1M, max output about 65.5K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is Gemini 3.7 Flash (batch) best for? Based on its capability and pricing, Gemini 3.7 Flash (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation, Voice Interaction. See the Use Cases section for details and cost estimates.
- What input/output modalities does Gemini 3.7 Flash (batch) support? Supports Text, Image, Video, File, Audio modality.
- Is Gemini 3.7 Flash (batch) a free model? Gemini 3.7 Flash (batch) is billed per token, not a free model.
- Which provider offers Gemini 3.7 Flash (batch)? Gemini 3.7 Flash (batch) is offered by Google.
More models from Google
Full info：Gemini 3.7 Flash (batch)