DeepSeek
The open-weight family everyone else gets benchmarked against.
DeepSeek publishes the weights for nearly everything it ships, which is why its models became the price anchor for the whole market — a Flash model here costs a fraction of a frontier model and gets close on reasoning and code. The V4 line is a sparse mixture-of-experts design with a million-token context. This row is the model family; DeepSeek's own free chat app has its own entry in Chats.
At a glance — R1 0528
- Cost
- $0.50 in · $2.15 out per 1M tokensBudget
- Memory
- 164K tokens — about 250 pages
- Reads
- Text
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Reliability
- 99.96% uptime, last 24h
- Released
- May 28, 2025
Advanced details
- API model ID
deepseek/deepseek-r1-0528- Max output
- 33K tokens
- Cached input
- $0.35 per 1M
- Knowledge cutoff
- 2025-03-31
- Tokenizer
- DeepSeek
Providers
The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.
| Provider | Input /1M | Output /1M | Cached /1M | Max output | Uptime 24h |
|---|---|---|---|---|---|
| DeepInfra · fp4 | $0.50 | $2.15 | $0.35 | 33K | 99.96% |
| SiliconFlow · fp8 | $0.50 | $2.18 | — | 147K | 99.87% |
| StreamLake | $0.571 | $2.286 | — | 32K | 99.19% |
| Novita · fp8 | $0.70 | $2.50 | $0.35 | 33K | 98.55% |
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly.
Key info
- Pricing
- Open source
- Category
- Models
- Best for
- Intermediate
- Made by
- DeepSeek
- Weights
- Open
- Good for
- Reasoning and code at a fraction of frontier prices