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$ diff deepseek-v4 longcat-2-0

DeepSeek V4 vs LongCat-2.0

Values come from DeepSeek V4 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.
Weights
Both publish weights — DeepSeek V4 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 shipped 16 days after LongCat-2.0 (2026-07-16 vs 2026-06-30).

Full spec

AttributeDeepSeek V4LongCat-2.0
DeveloperDeepSeekMeituan
Released2026-07-162026-06-30
Context window1M tokens (384K max output)1 million tokens (LongCat Sparse Attention / LSA)
PricingPeak: 2× off-peak API rates; off-peak rates not disclosed$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-Pro)Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

How these pages are produced

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