Qwen3.5-9B (batch)
Qwen3.5-9B · 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 Qwen3.5-9B 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 Qwen3.5-9B standard real-time tier.
Provider：Qwen
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design...
Key specs
- Context：262.1K
- Max output：235.9K
- Tokenizer：Qwen3
- Released：2026-03-10
Token pricing
- Input price：$0.170 / 1M tokens
- Output price：$0.250 / 1M tokens
- Blended price：$0.190 / 1M tokens
Modalities
Text, Image, Video
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.0020/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0015/call）
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.
- Low blended price: budget-friendly for fleet-scale deployment.
- 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.
- Video input support: fit for video understanding, frame QA, content moderation.
FAQ
- What is the token pricing of Qwen3.5-9B (batch)? Input price $0.170 / 1M tokens, output price $0.250 / 1M tokens, blended about $0.190 / 1M tokens. Refer to Qwen’s official page for the exact rate.
- What context window does Qwen3.5-9B (batch) support? Context window is 262.1K, max output about 235.9K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is Qwen3.5-9B (batch) best for? Based on its capability and pricing, Qwen3.5-9B (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation. See the Use Cases section for details and cost estimates.
- What input/output modalities does Qwen3.5-9B (batch) support? Supports Text, Image, Video modality.
- Is Qwen3.5-9B (batch) a free model? Qwen3.5-9B (batch) is billed per token, not a free model.
- Which provider offers Qwen3.5-9B (batch)? Qwen3.5-9B (batch) is offered by Qwen.
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Full info：Qwen3.5-9B (batch)