MiniMax M3 (batch)
MiniMax M3 · 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 MiniMax M3 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 MiniMax M3 standard real-time tier.
Provider：MiniMax
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
Key specs
- Context：524.3K
- Max output：471.9K
- Tokenizer：Other
- Released：2026-05-31
Token pricing
- Input price：$0.300 / 1M tokens
- Output price：$1.20 / 1M tokens
- Cache read：$0.060 / 1M tokens
- Blended price：$0.525 / 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.（≈ $0.0096/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.0072/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.
- 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 MiniMax M3 (batch)? Input price $0.300 / 1M tokens, output price $1.20 / 1M tokens, blended about $0.525 / 1M tokens. Refer to MiniMax’s official page for the exact rate.
- What context window does MiniMax M3 (batch) support? Context window is 524.3K, max output about 471.9K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is MiniMax M3 (batch) best for? Based on its capability and pricing, MiniMax M3 (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation. See the Use Cases section for details and cost estimates.
- What input/output modalities does MiniMax M3 (batch) support? Supports Text, Image, Video modality.
- Is MiniMax M3 (batch) a free model? MiniMax M3 (batch) is billed per token, not a free model.
- Which provider offers MiniMax M3 (batch)? MiniMax M3 (batch) is offered by MiniMax.
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Full info：MiniMax M3 (batch)