"Privacy#
All these models are hosted in the US. Providers follow a zero-retention policy and do not use your data for model training, with the following exceptions:
Big Pickle: During its free period, collected data may be used to improve the model.
DeepSeek V4 Flash Free: During its free period, collected data may be used to improve the model.
MiMo-V2.5 Free: During its free period, collected data may be used to improve the model.
Laguna S 2.1 Free: During its free period, collected data may be used to improve the model.
Ling-3.0-tiny Free: During its free period, collected data may be used to improve the model.
LongCat-2.0 Free: During its free period, collected data may be used to improve the model.
North Mini Code Free: During its free period, collected data may be retained and used to improve the model. Do not submit personal or confidential data. See the provider’s Terms of Use and Privacy Policy.
Nemotron 3 Ultra Free (NVIDIA free endpoints): Trial use only — do not submit personal or confidential data. Your use is logged for security purposes and to improve NVIDIA products and services. The logged session data for improvement purposes is not linked to your identity or any persistent identifier. For more information about data processing practices, see the Privacy Policy. By interacting with this endpoint, you consent to the collection, recording, and use of such information and the NVIDIA API Trial Terms of Service."
For caching, only if you don't specify your preferred providers and let OpenRouter route each request itself. I have stuff like this in my OpenCode config for each model I use and I regularly get ~90-95% cache hit rates.
It still won't be quite as high as you'd get by just using DeepSeek because occasionally a request will fail and you'll get routed to a backup provider with nothing cached, but it's close enough not to matter in most instances.
But I can't argue with the lower off-peak pricing when using DeepSeek directly. The downside is they train their models on your input, which might be a deal-breaker for many users (as it is for me).
I use it on fireworks which is US/ZDR and pretty reliable. We run a few hundred million tokens/day through it for dollars. Many are cached, which is super duper cheap.
Define easy. I am running 40+ probes to crack the best compression algorithm, and I spent $3. If you surgically tackle the problems, you can do really complicated work for less money than by assuming a frontier top model will one-shot everything.
Well, at least I spent lots of dollars, and I had to use those models the same way I am using local and cheap models, with the same results.
Compared to the deep seek, gml sure but compared to OpenAI and Anthropic it’s actually very cheap.
In cursor I have switch over to grok for planning a composer for coding.
Maybe mid priced is a better term for it lol.
Sure I can accept that lol
It’s a great value if you get Cursor Ultra. I basically have infinite tokens
What is the most secure way to use this model as someone who is lazy
I understand DeepSeek 4.1 Flash is available on US providers with Zero Data Retention if that is what you are asking.
Link for the lazy?
One example is Opencode. https://opencode.ai/v2/docs/console/models/
"Privacy# All these models are hosted in the US. Providers follow a zero-retention policy and do not use your data for model training, with the following exceptions:
Big Pickle: During its free period, collected data may be used to improve the model.
DeepSeek V4 Flash Free: During its free period, collected data may be used to improve the model.
MiMo-V2.5 Free: During its free period, collected data may be used to improve the model.
Laguna S 2.1 Free: During its free period, collected data may be used to improve the model.
Ling-3.0-tiny Free: During its free period, collected data may be used to improve the model.
LongCat-2.0 Free: During its free period, collected data may be used to improve the model.
North Mini Code Free: During its free period, collected data may be retained and used to improve the model. Do not submit personal or confidential data. See the provider’s Terms of Use and Privacy Policy.
Nemotron 3 Ultra Free (NVIDIA free endpoints): Trial use only — do not submit personal or confidential data. Your use is logged for security purposes and to improve NVIDIA products and services. The logged session data for improvement purposes is not linked to your identity or any persistent identifier. For more information about data processing practices, see the Privacy Policy. By interacting with this endpoint, you consent to the collection, recording, and use of such information and the NVIDIA API Trial Terms of Service."
I have doubts about Opencode Zen. They don't state who their providers are (unlike OpenRouter).
openrouter, "together" provider is fastest (165 t/s at the time of writing) and has ZDR and all
https://openrouter.ai/deepseek/deepseek-v4.1-flash?endpoint=...
Sadly, there is no way to tell if this is running with real weights or being heavily quantized.
Eh, it's also one of the providers with "blind" vision models https://mmoustafa.com/blog/so-you-want-to-use-openrouter/
Yes, but with subpar caching and higher cached token pricing, compared to directly using the DeepSeek platform.
For caching, only if you don't specify your preferred providers and let OpenRouter route each request itself. I have stuff like this in my OpenCode config for each model I use and I regularly get ~90-95% cache hit rates.
It still won't be quite as high as you'd get by just using DeepSeek because occasionally a request will fail and you'll get routed to a backup provider with nothing cached, but it's close enough not to matter in most instances.But I can't argue with the lower off-peak pricing when using DeepSeek directly. The downside is they train their models on your input, which might be a deal-breaker for many users (as it is for me).
I use it on fireworks which is US/ZDR and pretty reliable. We run a few hundred million tokens/day through it for dollars. Many are cached, which is super duper cheap.
I like devcontainers
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By no one. For the price of 1M token you can get more and with better results with other models.
Sure, if you're doing easy work. But Grok is a lot more intelligent and can handle harder tasks.
Define easy. I am running 40+ probes to crack the best compression algorithm, and I spent $3. If you surgically tackle the problems, you can do really complicated work for less money than by assuming a frontier top model will one-shot everything.
Well, at least I spent lots of dollars, and I had to use those models the same way I am using local and cheap models, with the same results.
DeepSeek 4.1 Flash is garbage, it almost only produced trash code. if you do extremely dumb things it is maybe sometimes fine to use.
Not only that all DeepSeek is all garbage.
GLM or Kimi are better for my own personal projects. DS? uhm. it just keeps doing dumb crap