deepseek-ai/DeepSeek-R1-0528 pricing
The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528. deepseek-ai/DeepSeek-R1-0528 from DeepInfra costs $0.500 per 1M input tokens and $2.15 per 1M output tokens. Cached input is $0.350 per 1M. Context window 163,840 tokens.
API id deepseek-ai/DeepSeek-R1-0528 · DeepInfra · source · updated 2026-11-10 · general-purpose
$0.500
Input / 1M tokens
$2.15
Output / 1M tokens
$0.350
Cached input / 1M
164K
Context window
deepseek-ai/DeepSeek-R1-0528 specifications
- Provider
- DeepInfra
- API id
deepseek-ai/DeepSeek-R1-0528- Model type
- general-purpose
- Context window
- 164K tokens
- Max output
- not published
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-11-10
Tags
- reasoning
What deepseek-ai/DeepSeek-R1-0528 costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0016 |
| Document summary | 50,000 | 2,000 | $0.03 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $0.93 |
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-R1-0528 cost per 1M tokens?
- deepseek-ai/DeepSeek-R1-0528 costs $0.500 per 1M input tokens and $2.15 per 1M output tokens on the standard tier. Cached input is $0.350 per 1M.
- What is deepseek-ai/DeepSeek-R1-0528's context window?
- deepseek-ai/DeepSeek-R1-0528 accepts up to 163,840 tokens in a single request.
- Is there a cheaper DeepInfra model than deepseek-ai/DeepSeek-R1-0528?
- Yes. Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo is $0.300 per 1M input tokens versus $0.500 for deepseek-ai/DeepSeek-R1-0528, with a 262,144 token context window.
- Where does this deepseek-ai/DeepSeek-R1-0528 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.
Head-to-head comparisons
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