deepseek-ai/DeepSeek-V3 pricing
DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2. deepseek-ai/DeepSeek-V3 from DeepInfra costs $0.320 per 1M input tokens and $0.890 per 1M output tokens. Context window 163,840 tokens.
API id deepseek-ai/DeepSeek-V3 · DeepInfra · source · updated 2026-09-25 · general-purpose
$0.320
Input / 1M tokens
$0.890
Output / 1M tokens
—
Cached input / 1M
164K
Context window
deepseek-ai/DeepSeek-V3 specifications
- Provider
- DeepInfra
- API id
deepseek-ai/DeepSeek-V3- Model type
- general-purpose
- Context window
- 164K tokens
- Max output
- not published
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-09-25
What deepseek-ai/DeepSeek-V3 costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0008 |
| Document summary | 50,000 | 2,000 | $0.02 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.50 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does deepseek-ai/DeepSeek-V3 cost per 1M tokens?
- deepseek-ai/DeepSeek-V3 costs $0.320 per 1M input tokens and $0.890 per 1M output tokens on the standard tier.
- What is deepseek-ai/DeepSeek-V3's context window?
- deepseek-ai/DeepSeek-V3 accepts up to 163,840 tokens in a single request.
- Is there a cheaper DeepInfra model than deepseek-ai/DeepSeek-V3?
- Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $0.320 for deepseek-ai/DeepSeek-V3, with a 1,048,576 token context window.
- Where does this deepseek-ai/DeepSeek-V3 price come from?
- From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.
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