DeepSeek R1 is a new open-source model with performance on par with OpenAI's o1 and features fully open reasoning tokens. It is a 671B-parameter Mixture-of-Experts (MoE) model that activates 37B parameters during inference.
Pricing
- Input Tokens: $0.400 /M tokens
- Output Tokens: $2.000 /M tokens
Input Modalities
- Text
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
Providers
Baidu deepseek-r1-250528
Pricing$0.546$2.184
Context128K
Max output32K
Latency1.3S
Throughput31.5TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Bytedance deepseek-r1-250528
Pricing$0.546$2.184
Context128K
Max output32K
Latency1.3S
Throughput31.5TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Siliconflow deepseek-ai/DeepSeek-R1
Pricing$0.500$0.500
Context163K
Max output163K
Latency2.5S
Throughput19.2TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Azure aihubmix-DeepSeek-R1
Pricing$1.400$5.600
Context1M
Max output1M
Latency1.0S
Throughput41.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Chutes deepseek-ai/DeepSeek-R1-0528
Pricing$0.600$0.600
Context1M
Max output1M
Latency1.7S
Throughput68.4TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for DeepSeek-R1
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Try this model
Python
