DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.
Fully open-source model & technical report(opens in new tab).
MIT licensed: Distill & commercialize freely!
Modalities
In / Out Price
$0.70 / $2.50per 1M
Context
64K
Released
Jan 20, 2025
Knowledge Cutoff
Jul 2024
This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & technical report. MIT licensed: Distill & commercialize freely!
R1 costs $0.70/M input tokens and $2.50/M output tokens.
R1 has a 64,000 token context window. It supports up to 16,000 completion tokens.
Yes. R1 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
DeepSeek V4 Pro 0813, DeepSeek V4 Flash 0731, DeepSeek V4 Pro 0423 and 8 more are other text models from DeepSeek.
R1 was released on January 20, 2025. Its knowledge cutoff is July 31, 2024.
| $0.70 | $2.50 | 1.06s | 20 tps |
Throughput
20tok/s
P50, best across providers
Latency
1.06s
P50, best provider
100.00%
99.63%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.