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$ diff deepseek-v4-1-flash longcat-2-0

DeepSeek V4.1-Flash vs LongCat-2.0

Values come from DeepSeek V4.1-Flash and LongCat-2.0, 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), LongCat-2.0 under MIT (commercially permissive). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4.1-Flash shipped 72 days after LongCat-2.0 (2026-09-10 vs 2026-06-30).

Full spec

AttributeDeepSeek V4.1-FlashLongCat-2.0
DeveloperDeepSeekMeituan
Released2026-09-102026-06-30
Context window1,000,0001 million tokens (LongCat Sparse Attention / LSA)
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 ($0.006/M cached input) — OpenRouter catalogue, read 2026-07-28. Open weights, so this is hosted-inference pricing rather than a licence fee.
LicenseMIT (open-weight)MIT (commercially permissive)
AvailabilityDeepSeek API, Hugging Face (`deepseek-ai/DeepSeek-V4.1-Flash`)Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

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