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$ diff deepseek-v4-pro-0813 longcat-2-0

DeepSeek V4-Pro-0813 vs LongCat-2.0

Values come from DeepSeek V4-Pro-0813 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
DeepSeek V4-Pro-0813 takes 1.0M against 1M — modestly more room in a single request.
Input price
LongCat-2.0 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
LongCat-2.0 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), LongCat-2.0 under MIT (commercially permissive). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Pro-0813 shipped 44 days after LongCat-2.0 (2026-08-13 vs 2026-06-30).

Full spec

AttributeDeepSeek V4-Pro-0813LongCat-2.0
DeveloperDeepSeekMeituan
Released2026-08-132026-06-30
Context window1,048,576 (1M) — 384K max output1 million tokens (LongCat Sparse Attention / LSA)
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 ($0.006/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, as reported)MIT (commercially permissive)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)Open-sourced 2026-06-30; previously served on OpenRouter under the codename "Owl Alpha"

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