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$ diff glm-5-3-flash deepseek-v4-pro-0813

GLM-5.3-Flash vs DeepSeek V4-Pro-0813

Values come from GLM-5.3-Flash and DeepSeek V4-Pro-0813, 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 1.0M tokens, so context length is not a reason to pick either.
Input price
GLM-5.3-Flash at $0.15/M against $0.66/M — 4.4× 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
GLM-5.3-Flash at $0.5/M against $1.98/M — 4.0× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — GLM-5.3-Flash under MIT, DeepSeek V4-Pro-0813 under MIT (open-weight, as reported). Check the licences rather than assuming they permit the same commercial use.
Recency
GLM-5.3-Flash shipped 13 days after DeepSeek V4-Pro-0813 (2026-08-26 vs 2026-08-13).

Full spec

AttributeGLM-5.3-FlashDeepSeek V4-Pro-0813
DeveloperZ.aiDeepSeek
Released2026-08-262026-08-13
Context window1,048,576 (1M)1,048,576 (1M) — 384K max output
Pricing$0.15/M input · $0.03/M cached input · $0.50/M output$0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing
LicenseMITMIT (open-weight, as reported)
AvailabilityHugging Face (open weights), Z.ai APIDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)

How these pages are produced

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