DeepSeek V4.1 Flash Free
deepseek-v4.1-flash-freedeepseek/deepseek-v4.1-flash-freeNo model knowledge yet — showing the Antseed catalog only.
DeepSeek is a Chinese artificial intelligence company specializing in large language model development, founded in July 2023 by Liang Wenfeng. Based in Hangzhou, Zhejiang, the company is backed by High-Flyer, a prominent Chinese hedge fund also co-founded by Liang. DeepSeek…
Explore 13 more models by DeepSeek →Daily usage · DeepSeek V4.1 Flash Free · Organic sellers
Top sellers · DeepSeek V4.1 Flash Free · Organic
- Unified Rack · DeepSeek 240 tok/s70.3%
- SCloud29.5%
- Vikey Seller0.2%
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save | 1st token | tok/s |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Inspectant 0xfc36…8842 | healthy | 93.55 | —excluded | — | #1 | $0.00 | $0.00 | $0.00 | −100% | 1.3 s | 198 |
| Vikey Seller 0xe4c4…3c7b | healthy | 16.82 | $0.00 | 1.22M | gated | $0.00 | $0.00 | $0.00 | −100% | 3.1 s | 1,002 |
| Unified Rack · DeepSeek 240 tok/s 0x42d1…822f | healthy | 13.21 | $0.00 | 408.93M | gated | $0.00 | $0.00 | $0.00 | −100% | — | — |
| SCloud 0x0da6…cd0c | failingrate limited · 7.4 h · stale | 25.00 | $0.00 | 171.62M | gated | $0.00 | $0.00 | $0.00 | −100% | — | — |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.