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$ diff deepseek-v4-1-flash minimax-m3

DeepSeek V4.1-Flash vs MiniMax M3

Values come from DeepSeek V4.1-Flash and MiniMax M3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
Identical — both accept 1M tokens, so context length is not a reason to pick either.
Input price
DeepSeek V4.1-Flash at $0.15/M against $0.3/M — 2.0× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
DeepSeek V4.1-Flash at $0.6/M against $1.2/M — 2.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — DeepSeek V4.1-Flash under MIT (open-weight), MiniMax M3 under Open-weight (HuggingFace). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4.1-Flash shipped 101 days after MiniMax M3 (2026-09-10 vs 2026-06-01).

Full spec

AttributeDeepSeek V4.1-FlashMiniMax M3
DeveloperDeepSeekMiniMax
Released2026-09-102026-06-01
Context window1,000,0001,000,000 tokens (1M); min. 512K guaranteed
Pricing$0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing$0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28
LicenseMIT (open-weight)Open-weight (HuggingFace)
AvailabilityDeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)API (global, including English) + open-weight on HuggingFace

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