DeepSeek: DeepSeek V4.1 Flash.
Open-weights multimodal 552B Mixture-of-Experts model that reads images and text, with a one million token context and a compact cache, under the MIT licence.
Cheapest hosted endpoints.
Variants in the DeepSeek family.
DeepSeek's flagship MoE — 671B total, 37B active, frontier-class.
DeepSeek's reasoning model — RL-trained, frontier-class, MIT-licensed.
70B Llama distilled from DeepSeek R1's reasoning traces.
32B Qwen base distilled from DeepSeek R1.
14B distilled R1 — laptop-friendly reasoning.
7B distilled R1 — runs on any modern GPU.
Tiny distilled R1 — phone / browser deployable.
Official release of DeepSeek-V4-Pro that supersedes the preview, adding a spe...
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, wi...
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is buil...
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iterat...
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-cha...
DeepSeek-V3.2 is a large language model designed to harmonize high computatio...
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized f...
Open-weights 284B Mixture-of-Experts text model with 13B active parameters an...
Open-weights 1.6T Mixture-of-Experts text model with 49B active parameters an...
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performa...
Minor update to DeepSeek-V4.1-Flash with improved reasoning, coding, agent an...
DeepSeek-V4-Flash-Vision-Exp is an experimental MIT-licensed model adding ima...
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSee...
Frequently asked.
How do I run DeepSeek: DeepSeek V4.1 Flash?
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How much does it cost to run DeepSeek: DeepSeek V4.1 Flash?
Is DeepSeek: DeepSeek V4.1 Flash open-source or proprietary?
What it costs per month across providers.
Estimate your monthly bill for DeepSeek: DeepSeek V4.1 Flash across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
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Total monthly cost — input + output tokens combined.
Bill breakdown.
About DeepSeek: DeepSeek V4.1 Flash.
A multimodal Mixture-of-Experts model with 552B backbone parameters that reads images and text and writes text, with a context of up to one million tokens. Its encoder-decoder layout activates 8B parameters per token while reading the prompt and 16B while generating, which suits agent jobs that feed in a lot of input. Compressed attention and FP4 caching shrink the memory held per token to roughly a quarter of DeepSeek-V4-Flash. Weights are open under the MIT licence.