DeepSeek V4.1 Flash
DeepSeek's smallest model on its new Causal Encoder-Decoder architecture, a 552B MoE activating 8B parameters on input and 16B on output, with native image input and MIT-licensed weights.
- Params
- 552B, 16B active
- Context
- 1M tokens
- Max output
- 384K
- Released
- License
- MIT
Hosted API price
List price via DeepSeek · per 1M tokens
- Input
- $0.30 /1M
- Output
- $1.20 /1M
- Hosted by
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2 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving DeepSeek V4.1 Flash, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
|
$0.30 | $1.20 | $0.006 | $5.40 | Visit website |
|
|
$0.30 | $1.20 | $0.006 | $5.40 | Visit website |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Estimated cost to self-host
DeepSeek V4.1 Flash needs about 306 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX A6000 at about $3,283 a month.
That costs the same as roughly 7B tokens a month on DeepSeek's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 306 GB |
|
$3,283 | 7B tokens /mo |
| 8-bit FP8 / INT8 | 554 GB |
|
$9,850 | 22B tokens /mo |
| 16-bit FP16 / BF16 | 1,106 GB |
|
$37,382 | 83B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest DeepSeek V4.1 Flash by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs DeepSeek V4.1 Flash |
|---|---|---|---|---|---|---|
|
|
$0.3917 | $0.27 | $1.00 | 131K | −13% | |
|
|
$0.40 | $0.30 | $0.90 | 128K | −11% | |
|
|
$0.4117 | $0.27 | $1.12 | 128K | −9% | |
|
|
$0.4135 | $0.276 | $1.101 | 1M | −8% | |
|
|
$0.4333 | $0.20 | $1.60 | 262K | −4% | |
|
|
$0.45 | $0.30 | $1.20 | 1M | ||
|
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$0.45 | $0.30 | $1.20 | 205K | 0% | |
|
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$0.4583 | $0.25 | $1.50 | 1M | Jan 2025 | +2% |
|
|
$0.4583 | $0.25 | $1.50 | 1M | +2% | |
|
|
$0.50 | $0.30 | $1.50 | 262K | +11% | |
|
|
$0.5075 | $0.435 | $0.87 | 1M | +13% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What DeepSeek V4.1 Flash accepts and can do, as published by DeepSeek.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
Common questions
What is DeepSeek V4.1 Flash good for?
Long-context agent and coding work, and tasks that mix images with text. MIT-licensed weights, far lighter to self-host than V4 Pro, though the 552B backbone still takes a multi-GPU node.
When is DeepSeek V4.1 Flash not a good fit?
Audio and video work: it takes text and images in, and returns text only. Self-hosting still takes a multi-GPU node, and DeepSeek's own API charges the list rate at peak hours, so the price depends on the time of day.
What is the cheapest way to run DeepSeek V4.1 Flash?
Hosted, unless you push serious volume. DeepSeek charges $0.30 in / $1.20 out per 1M tokens. The cheapest rental that fits is 8x RTX A6000 at $3,283 a month, which costs the same as about 7B tokens a month on that API.
How does DeepSeek V4.1 Flash compare with DeepSeek V4 Flash?
DeepSeek says V4.1 Flash moves the Flash line onto a Causal Encoder-Decoder architecture that activates fewer parameters on input than on output, adds native image understanding, and compresses the KV cache, which it says cuts the cache-hit charges that dominate agent costs. Same 1M-token context. DeepSeek V4.1 Flash costs 275% more per 1M input tokens and 376% more per 1M output tokens than DeepSeek V4 Flash, at each model's cheapest listed provider. It came out 5 months later, has more parameters (552B with 16B active against 284B with 13B active) and takes image input, which DeepSeek V4 Flash does not.
Can I self-host DeepSeek V4.1 Flash?
Yes. The weights are MIT licensed. At 4-bit it needs about 306 GB of GPU memory, which starts at roughly $3,283 a month on the cheapest rental that fits.
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