DeepSeek V3
DeepSeek's 671B MoE general-purpose model (37B active), an open-weight option for coding and reasoning.
- Params
- 671B, 37B active
- Context
- 128K tokens
- Released
- License
- DeepSeek Model License
Hosted API price
Cheapest via Novita · per 1M tokens
- Input
- $0.27 /1M
- Output
- $1.12 /1M
- Hosted by
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4 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 V3, 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 |
|---|---|---|---|---|---|
|
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$0.27 | $1.12 | $0.135 | $4.94 | Visit website |
|
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$0.85 | Visit website | |||
|
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$1.14 | $4.56 | $20.52 | Visit website | |
|
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$1.45 | $1.45 | $17.40 | 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 V3 needs about 373 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $9,850 a month.
That costs the same as roughly 24B tokens a month on Novita'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 | 373 GB |
|
$9,850 | 24B tokens /mo |
| 8-bit FP8 / INT8 | 674 GB |
|
$12,614 | 31B tokens /mo |
| 16-bit FP16 / BF16 | 1,346 GB |
|
$45,446 | 110B 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 V3 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs DeepSeek V3 |
|---|---|---|---|---|---|---|
|
|
$0.375 | $0.20 | $1.25 | 400K | Aug 2025 | −9% |
|
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$0.3833 | $0.38 | $0.40 | 33K | −7% | |
|
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$0.3917 | $0.27 | $1.00 | 131K | −5% | |
|
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$0.3917 | $0.27 | $1.00 | 131K | −5% | |
|
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$0.40 | $0.30 | $0.90 | 128K | −3% | |
|
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$0.4117 | $0.27 | $1.12 | 128K | ||
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$0.4135 | $0.276 | $1.101 | 1M | 0% | |
|
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$0.4333 | $0.20 | $1.60 | 262K | +5% | |
|
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$0.45 | $0.30 | $1.20 | 1M | +9% | |
|
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$0.45 | $0.30 | $1.20 | 205K | +9% | |
|
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$0.4583 | $0.25 | $1.50 | 1M | Jan 2025 | +11% |
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 V3 accepts and can do, as published by DeepSeek.
- Text Accepts and generates natural-language text.
- Function calling Connect to external tools, APIs, and systems.
Common questions
What is DeepSeek V3 good for?
General chat and coding with tool calling. Open weights under the DeepSeek Model License, on a multi-GPU node.
When is DeepSeek V3 not a good fit?
Image input or structured output: it is text only. Its weights carry the DeepSeek Model License rather than the MIT terms of the later releases, and running them takes a multi-GPU node.
What is the cheapest way to run DeepSeek V3?
How does DeepSeek V3 compare with DeepSeek V3.1?
DeepSeek says DeepSeek V3.1 continues pretraining from DeepSeek V3 to extend its context, then post-trains one model with thinking and non-thinking modes, with better tool use and multi-step agent tasks. Same text input. DeepSeek V3 costs 12% more per 1M output tokens than DeepSeek V3.1, at each model's cheapest listed provider. It came out 8 months earlier, has a smaller context (128K against 131K tokens) and is licensed under DeepSeek Model License against MIT.
Can I self-host DeepSeek V3?
Yes. The weights are released under the DeepSeek Model License. At 4-bit it needs about 373 GB of GPU memory, which starts at roughly $9,850 a month on the cheapest rental that fits.
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