LLMCost

MiniMax: MiniMax M2-her vs ScaleDown: Summarize

On input price, ScaleDown: Summarize is ~7.5× cheaper. Verified 2026-10-21.

MiniMax: MiniMax M2-her $0.300/$1.20vsScaleDown: Summarize $0.040/Free

Verdict

On blended price (3:1 input:output), ScaleDown: Summarize is ~17.5× cheaper ($0.040/Free vs $0.300/$1.20 per 1M tokens).

Pricing

Per-million-token list prices, verified 2026-10-21. Green marks the better value.

MetricMiniMax: MiniMax M2-herScaleDown: Summarize
Input / 1M$0.300$0.040
Output / 1M$1.20Free
Cache read / 1M$0.030—
Blended (3:1)$0.525/1M$0.030/1M
Estimated monthly costMiniMax: MiniMax M2-herScaleDown: Summarize
Chatbot10,000 reqs · 800/400 tok$7.20$0.32
Coding agent5,000 reqs · 8000/2000 tok$24.00$1.60
RAG pipeline30,000 reqs · 4000/500 tok$54.00$4.80

Plug in your own numbers in the calculator, or paste a real bill into the Bill Shredder.

Specifications & capabilities

MetricMiniMax: MiniMax M2-herScaleDown: Summarize
Context window66K1M
Max output2K4K
Vision input–✓
Tool calling––
Reasoning––

Provider

Infrastructure metrics for the organizations behind these models.

MetricMiniMaxscaledown
Listed endpoints4—
Reliability99.2%—
Avg latency520 ms—
Pricing tiersstandard, batch—

Full details: MiniMax: MiniMax M2-her pricing · ScaleDown: Summarize pricing