by DeepSeek

DeepSeek: DeepSeek V4.1 Flash.

multimodal open weights datacenter 763B params 1M ctx
Cheapest input
$0.045/M
on OpenRouter
Cheapest output
$0.5/M
on OpenRouter
Hosted equiv.
~$0.18/hr
@ 100 tok/s on OpenRouter

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.

Where to use it

Cheapest hosted endpoints.

Provider Access $/M in $/M out
OpenRouter api aggregator $0.045 $0.5 Launch ↗
DeepInfra hosted inference $0.2 $0.6 Launch ↗
Together AI hosted inference $0.3 $1.2 Launch ↗
Sources

Official references.

Family

Variants in the DeepSeek family.

DeepSeek V3
671.0B open DeepSeek License (commercial)

DeepSeek's flagship MoE — 671B total, 37B active, frontier-class.

DeepSeek R1
671.0B open MIT

DeepSeek's reasoning model — RL-trained, frontier-class, MIT-licensed.

DeepSeek R1 Distill Llama 70B
70.0B open MIT

70B Llama distilled from DeepSeek R1's reasoning traces.

DeepSeek R1 Distill Qwen 32B
32.5B open MIT

32B Qwen base distilled from DeepSeek R1.

DeepSeek R1 Distill Qwen 14B
14.7B open MIT

14B distilled R1 — laptop-friendly reasoning.

DeepSeek R1 Distill Qwen 7B
7.6B open MIT

7B distilled R1 — runs on any modern GPU.

DeepSeek R1 Distill Qwen 1.5B
1.8B open MIT

Tiny distilled R1 — phone / browser deployable.

DeepSeek: DeepSeek V4 Pro 0813
1650.5B open mit

Official release of DeepSeek-V4-Pro that supersedes the preview, adding a spe...

DeepSeek: DeepSeek V4 Flash 0731
304.2B open mit

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, wi...

DeepSeek-V3.1
684.5B open mit

DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is buil...

DeepSeek: DeepSeek V3 0324
688.6B open mit

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iterat...

DeepSeek: DeepSeek V3.1 Terminus
688.6B open mit

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-cha...

DeepSeek: DeepSeek V3.2
689.5B open mit

DeepSeek-V3.2 is a large language model designed to harmonize high computatio...

DeepSeek: DeepSeek V3.2 Speciale
685.4B open mit

DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized f...

DeepSeek: DeepSeek V4 Flash
292.5B open mit

Open-weights 284B Mixture-of-Experts text model with 13B active parameters an...

DeepSeek: DeepSeek V4 Pro
1601.9B open mit

Open-weights 1.6T Mixture-of-Experts text model with 49B active parameters an...

DeepSeek: R1 0528
671.0B open mit

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performa...

DeepSeek: DeepSeek V4.1 Flash 1017
763.2B open mit

Minor update to DeepSeek-V4.1-Flash with improved reasoning, coding, agent an...

DeepSeek: DeepSeek V4 Flash Vision Exp
304.6B open mit

DeepSeek-V4-Flash-Vision-Exp is an experimental MIT-licensed model adding ima...

DeepSeek: DeepSeek V3.2 Exp
671.0B open mit

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSee...

FAQ

Frequently asked.

How do I run DeepSeek: DeepSeek V4.1 Flash?
DeepSeek: DeepSeek V4.1 Flash is open-weight, so you can self-host on rented GPUs. See the Run It Yourself tab for GPU configurations + cost estimates, or use one of the hosted inference providers listed on this page.
Where can I access DeepSeek: DeepSeek V4.1 Flash?
DeepSeek: DeepSeek V4.1 Flash is available via Fireworks AI, Together AI, DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run DeepSeek: DeepSeek V4.1 Flash?
API pricing starts at $0.045/M input tokens and $0.5/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is DeepSeek: DeepSeek V4.1 Flash open-source or proprietary?
DeepSeek: DeepSeek V4.1 Flash is open-weight under the mit license. You can download and self-host it.