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$ diff mimo-v2-6-pro deepseek-v4-1-flash

MiMo-V2.6-Pro vs DeepSeek V4.1-Flash

Values come from MiMo-V2.6-Pro and DeepSeek V4.1-Flash, 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 $0.435/M — 2.9× 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 $0.87/M — 1.4× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — MiMo-V2.6-Pro under MIT (open weights), DeepSeek V4.1-Flash under MIT (open-weight). Check the licences rather than assuming they permit the same commercial use.
Recency
MiMo-V2.6-Pro shipped 12 days after DeepSeek V4.1-Flash (2026-09-22 vs 2026-09-10).

Full spec

AttributeMiMo-V2.6-ProDeepSeek V4.1-Flash
DeveloperXiaomiDeepSeek
Released2026-09-222026-09-10
Context window1M tokens1,000,000
Pricingno vendor list price — weights are MIT and self-hostable; routed providers reported at $0.435/M input · $0.87/M output$0.15/M input (cache miss) · $0.003/M input (cache hit) · $0.60/M output, off-peak; peak rates double — see Pricing
LicenseMIT (open weights)MIT (open-weight)
AvailabilityHugging Face as `XiaomiMiMo/MiMo-V2.6-Pro-RL`; hosted via third-party routersDeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)

How these pages are produced

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