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DeepSeek vs OpenScale
OpenScale resells DeepSeek's own V4.1 Flash, so this is the same open model from its maker or from a cheaper third-party API.
By The Subconscious Team · Updated
DeepSeek vs OpenScale: key differences
DeepSeek charges $0.30 in and $1.20 out for V4.1 Flash at peak and half that off-peak, with very cheap cache hits, 1M context and 384K max output. Data on its hosted API is stored in China. OpenScale serves the same model at $0.06 in, $0.003 cached and $0.24 out under a 50% promotion off a $0.12 and $0.48 list, at 200+ tokens per second, plus a fast tier at about twice the speed. Its own comparison puts it about half the effective price of DeepSeek's API on cache-heavy agent traffic.
DeepSeek is the reference host, with documented limits and new models first. OpenScale is cheaper, runs from Singapore, keeps no chat request bodies and adds Anthropic and OpenAI Responses formats with tested setups for coding agents. It is also a young company with no published SLA, and its headline prices depend on a promotion.
What DeepSeek and OpenScale do
DeepSeek
DeepSeek is the Chinese lab whose open-weight models reset price expectations for the whole market. Its main model is V4.1 Flash, with 1M context and 384K max output, which shipped September 10, 2026 with built-in image understanding at $0.30 in and $1.20 out at peak. DeepSeek is phasing out V4 Pro: since September 14, deepseek-v4-pro requests route to V4.1 Flash at Flash rates until V4.1 Pro launches. Cache hits cost a few cents per million or less, and the weights ship on Hugging Face under an MIT license.
Example models: DeepSeek V4.1 Flash
Full DeepSeek profileOpenScale
OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.
Example models: DeepSeek V4.1 Flash
Full OpenScale profileShould you choose DeepSeek or OpenScale?
DeepSeek vs OpenScale at a glance
| Attribute | DeepSeek | OpenScale |
|---|---|---|
| Model access | Open weights (MIT) | Open weights |
| Flagship models | DeepSeek V4.1 Flash | DeepSeek V4.1 Flash |
| Speed | ~209 tok/s on V4.1 Flash | 200+ tok/s; fast tier ~2x |
| Price | Off-peak hours at half price | $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash) |
| Customization | Open weights to fine-tune | N/A |
| Deployment | First-party API, Hugging Face weights | Serverless API |
| Long context | 1M, 384K max output | 1M context |
Frequently asked questions
What is the difference between DeepSeek and OpenScale?
OpenScale resells DeepSeek's own V4.1 Flash, so this is the same open model from its maker or from a cheaper third-party API.
When should I choose DeepSeek over OpenScale?
The reference host for new DeepSeek models; Documented limits and reasoning effort settings; Off-peak pricing on a first-party API.
When should I choose OpenScale over DeepSeek?
A lower price on the same model; Zero data retention outside China; A faster tier for latency-sensitive agents.
Is DeepSeek or OpenScale cheaper?
DeepSeek: Off-peak hours at half price. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
Which has more context, DeepSeek or OpenScale?
DeepSeek: 1M, 384K max output. OpenScale: 1M context.
Related comparisons
Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.