Gemini 2.5 Pro (batch)
Gemini 2.5 Pro · 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 2.5 Pro 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 2.5 Pro standard real-time tier.
Provider：Google
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Key specs
- Context：1M
- Max output：65.5K
- Tokenizer：Gemini
- Released：2025-06-17
Token pricing
- Input price：$0.625 / 1M tokens
- Output price：$5.00 / 1M tokens
- Cache read：$0.125 / 1M tokens
- Blended price：$1.72 / 1M tokens
- Image price：$0.0006 / image
Modalities
Text, Image, File, Audio, Video
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.040/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.030/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.
- 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 2.5 Pro (batch)? Input price $0.625 / 1M tokens, output price $5.00 / 1M tokens, blended about $1.72 / 1M tokens. Refer to Google’s official page for the exact rate.
- What context window does Gemini 2.5 Pro (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 2.5 Pro (batch) best for? Based on its capability and pricing, Gemini 2.5 Pro (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 2.5 Pro (batch) support? Supports Text, Image, File, Audio, Video modality.
- Is Gemini 2.5 Pro (batch) a free model? Gemini 2.5 Pro (batch) is billed per token, not a free model.
- Which provider offers Gemini 2.5 Pro (batch)? Gemini 2.5 Pro (batch) is offered by Google.
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Full info：Gemini 2.5 Pro (batch)