DeepSeek: R1

Text input Text output Free Option
Author's Description

DeepSeek R1 is here: Performance on par with [OpenAI o1](/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](https://api-docs.deepseek.com/news/news250120). MIT licensed: Distill & commercialize freely!

Key Specifications
Cost
$$$$
Context
128K
Parameters
671B (Rumoured)
Released
Jan 20, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top Logprobs Include Reasoning Temperature Top P Min P Seed Max Tokens Presence Penalty Frequency Penalty Logit Bias Response Format Structured Outputs Stop Reasoning
Features

This model supports the following features:

Structured Outputs Response Format Reasoning
Performance Summary

DeepSeek R1, a 671B parameter model with 37B active in inference, presents a compelling open-source alternative, aiming for performance on par with OpenAI O1. Its speed performance is moderate, ranking in the 31st percentile, indicating it is not among the fastest models available. Similarly, its pricing is moderate, placing it in the 36th percentile, suggesting it offers competitive but not exceptionally low costs. A key strength of DeepSeek R1 is its exceptional performance in Email Classification, achieving perfect 100% accuracy. This benchmark also highlights its efficiency, being the most accurate model at its price point and among models of comparable speed. The model also demonstrates strong capabilities in Coding, with 93.0% accuracy, placing it in the 93rd percentile for this category. Its Reasoning abilities are solid at 70.0% accuracy (67th percentile), and General Knowledge is respectable at 96.5% (53rd percentile). However, a notable weakness is its performance in the Ethics (Baseline) benchmark, where it scored 96.0% accuracy, placing it in the 32nd percentile. This suggests an area for potential improvement in handling ethical scenarios. Despite this, DeepSeek R1's open-source nature, MIT license, and fully open reasoning tokens make it a highly attractive option for developers and organizations seeking powerful, transparent, and commercially viable AI solutions.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.4
Completion $2

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
InferenceNet
InferenceNet | deepseek/deepseek-r1 128K $0.4 / 1M tokens $2 / 1M tokens
DeepInfra
DeepInfra | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Lambda
Lambda | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Novita
Novita | deepseek/deepseek-r1 64K $0.4 / 1M tokens $2 / 1M tokens
Nebius
Nebius | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
DeepInfra
DeepInfra | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Kluster
Kluster | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Cent-ML
Cent-ML | deepseek/deepseek-r1 131K $0.4 / 1M tokens $2 / 1M tokens
Nebius
Nebius | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Friendli
Friendli | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Fireworks
Fireworks | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Minimax
Minimax | deepseek/deepseek-r1 64K $0.4 / 1M tokens $2 / 1M tokens
Azure
Azure | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Targon
Targon | deepseek/deepseek-r1 163K $0.4 / 1M tokens $2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
Other Models by deepseek