DeepSeek V4 Flash · Community source · Personal experience
An X user prefers 0424 and says the 0731 increase worsened the cost experience for non-coding work; this is version-specific personal feedback.
Unverified: the original source could not be rechecked. Historical figures below are not current verified results.
"My favorite model is DeepSeek-V4-Flash-0424. Before 0731 came out, I handed almost every non-coding task to 0424. Its i… This is a necessary excerpt; read the original source for full context.
Interpretation:
The long-term user has high regard for the 0424 version (the April 24 version): its intelligence is sufficient for non-coding tasks (writing, organizing information, everyday Q&A, and so on)
With a monthly cost of only a few dozen yuan, it occupied the role of a "low-cost everyday workhorse"
The user expresses strong dissatisfaction with the 0731 version's price increase (RMB 2 for input and RMB 4 for output per million tokens during peak hours, double the April preview version)
"After deepseek raised its prices, should I switch to luna on an opencode go subscription? Even though the official site… This is a necessary excerpt; read the original source for full context.
Interpretation:
Against the backdrop of the price increase, the user compares GPT-5.6 Luna and DeepSeek-V4-Flash within an OpenCode Go subscription (billed against a $12 allowance)
Practical result: even though the official messaging says Luna is more cost-effective, the actual cost of completing tasks is still lower with deepseek-v4-flash
Key factor: DeepSeek's cache-hit rate is very high (official cached-input pricing is as low as RMB 0.02 per million tokens), substantially reducing the effective cost
The price increase was the hottest V4-Flash topic in the X community in mid-August
The two posts offer a contrast: a long-time user misses the 0424 version's value for money (wuyiqun), while a newer user finds that, after the 0731 price increase, its high cache-hit rate still makes it better than Luna in a subscription scenario (ch1lam)
This indirectly confirms the decisive effect of "cache hits" on actual bills under DeepSeek's official peak/off-peak pricing mechanism
The figures, task set, reasoning tier, and client conditions apply only to the listed source and collection snapshot. Different versions, harnesses, or providers must not be compared directly; undisclosed parameters remain unknown.
For a reproduction, fix the model version, provider or client, reasoning tier, tools, task-set version, sample count, and collection date, and record failures, retries, and human corrections. Full steps are in the source notes below.
X (Twitter) · Wyq (@wuyiqun), ch1lam (@ch1lam) · Original publication date 2026-08-17 · Site edit date 2026-09-20
Open original sourceDeepSeek V4 Flash
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