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$ diff deepseek-v4-pro-0813 minimax-m3

DeepSeek V4-Pro-0813 vs MiniMax M3

Values come from DeepSeek V4-Pro-0813 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
DeepSeek V4-Pro-0813 takes 1.0M against 1M — modestly more room in a single request.
Input price
MiniMax M3 at $0.3/M against $0.66/M — 2.2× 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
MiniMax M3 at $1.2/M against $1.98/M — 1.7× 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-Pro-0813 under MIT (open-weight, as reported), MiniMax M3 under Open-weight (HuggingFace). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Pro-0813 shipped 73 days after MiniMax M3 (2026-08-13 vs 2026-06-01).

Full spec

AttributeDeepSeek V4-Pro-0813MiniMax M3
DeveloperDeepSeekMiniMax
Released2026-08-132026-06-01
Context window1,048,576 (1M) — 384K max output1,000,000 tokens (1M); min. 512K guaranteed
Pricing$0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing$0.30/M input · $1.20/M output ($0.06/M cached input) — OpenRouter catalogue, read 2026-07-28
LicenseMIT (open-weight, as reported)Open-weight (HuggingFace)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)API (global, including English) + open-weight on HuggingFace

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