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$ diff deepseek-v4-flash glm-5-2

DeepSeek V4-Flash vs GLM-5.2

Values come from DeepSeek V4-Flash and GLM-5.2, 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

Input price
DeepSeek V4-Flash at $0.14/M against $0.62/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
DeepSeek V4-Flash at $0.28/M against $1.94/M — 6.9× 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-Flash under MIT (open-weight), GLM-5.2 under MIT (unrestricted, "no regional limits"). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Flash shipped 48 days after GLM-5.2 (2026-07-31 vs 2026-06-13).

Full spec

AttributeDeepSeek V4-FlashGLM-5.2
DeveloperDeepSeekZ.ai
Released2026-07-312026-06-13
Context windownot recorded1,000,000 tokens
Pricing$0.14/M input (cache miss) · $0.0028/M input (cache hit) · $0.28/M output — see Conflicting Reports≈$0.62/M input · ≈$1.94/M output (≈$0.11/M cached input) — a live reseller quote, not a list price: Z.ai publishes none, so this is the OpenRouter catalogue, read 2026-07-30. It does not hold still: $0.7504 → $0.7350 within one day, then $0.74 → $0.62 (−16%) over the next, which is why the page carries a read date and why a figure quoted from here needs one too. Treat it as the order of magnitude and follow the citation for the figure of the moment.
LicenseMIT (open-weight)MIT (unrestricted, "no regional limits")
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Flash-0731`)GLM Coding Plan (highest subscription tier), standalone API, open weights, NVIDIA NIM hosted

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