Mistral Small 4 (batch)
Mistral Small 4 · 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 Small 4 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 Small 4 standard real-time tier.
Provider：Mistral AI
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...
Key specs
- Context：262.1K
- Max output：209.7K
- Tokenizer：Mistral
- Released：2026-03-16
Token pricing
- Input price：$0.150 / 1M tokens
- Output price：$0.600 / 1M tokens
- Cache read：$0.015 / 1M tokens
- Blended price：$0.263 / 1M tokens
Modalities
Text, Image
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.0048/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0036/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.
FAQ
- What is the token pricing of Mistral Small 4 (batch)? Input price $0.150 / 1M tokens, output price $0.600 / 1M tokens, blended about $0.263 / 1M tokens. Refer to Mistral AI’s official page for the exact rate.
- What context window does Mistral Small 4 (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 Small 4 (batch) best for? Based on its capability and pricing, Mistral Small 4 (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation. See the Use Cases section for details and cost estimates.
- What input/output modalities does Mistral Small 4 (batch) support? Supports Text, Image modality.
- Is Mistral Small 4 (batch) a free model? Mistral Small 4 (batch) is billed per token, not a free model.
- Which provider offers Mistral Small 4 (batch)? Mistral Small 4 (batch) is offered by Mistral AI.
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Full info：Mistral Small 4 (batch)