Mistral Medium 3.5 (batch)
Mistral Medium 3.5 · 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 Mistral Medium 3.5 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 Mistral Medium 3.5 standard real-time tier.
Provider：Mistral AI
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
Key specs
- Context：262.1K
- Max output：209.7K
- Tokenizer：Mistral
- Released：2026-04-30
Token pricing
- Input price：$0.750 / 1M tokens
- Output price：$3.75 / 1M tokens
- Blended price：$1.50 / 1M tokens
Modalities
Text, Image, File
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.030/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.022/call）
- Chat & Support：FAQ auto-response, multi-turn dialogue, emotion detection — e-commerce, finance, gov.（≈ $0.0075/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.
- 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.
- File / PDF input support: fit for document parsing, contract review, RAG over private data.
FAQ
- What is the token pricing of Mistral Medium 3.5 (batch)? Input price $0.750 / 1M tokens, output price $3.75 / 1M tokens, blended about $1.50 / 1M tokens. Refer to Mistral AI’s official page for the exact rate.
- What context window does Mistral Medium 3.5 (batch) support? Context window is 262.1K, max output about 209.7K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is Mistral Medium 3.5 (batch) best for? Based on its capability and pricing, Mistral Medium 3.5 (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation, Chat & Support. See the Use Cases section for details and cost estimates.
- What input/output modalities does Mistral Medium 3.5 (batch) support? Supports Text, Image, File modality.
- Is Mistral Medium 3.5 (batch) a free model? Mistral Medium 3.5 (batch) is billed per token, not a free model.
- Which provider offers Mistral Medium 3.5 (batch)? Mistral Medium 3.5 (batch) is offered by Mistral AI.
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Full info：Mistral Medium 3.5 (batch)