DeepSeek: Models Intelligence, Performance & Price
Analysis of DeepSeek's models across key metrics including quality, price, output speed, latency, context window & more. This analysis is intended to support you in choosing the best model provided by DeepSeek for your use-case. For more details including relating to our methodology, see our FAQs. Models analyzed: DeepSeek R1 and DeepSeek V3.
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DeepSeek Model Comparison Summary
Intelligence: DeepSeek R1 is the highest quality model offered by DeepSeek, followed by DeepSeek V3.Output Speed (tokens/s): DeepSeek V3 (29 t/s) is the fastest model offered by DeepSeek, followed by DeepSeek R1 (26 t/s).Latency (seconds): DeepSeek V3 (6.74s) is the lowest latency model offered by DeepSeek, followed by DeepSeek R1 (9.52s).Blended Price ($/M tokens): DeepSeek V3 ($0.48) is the cheapest model offered by DeepSeek, followed by DeepSeek R1 ($0.96).Context Window Size: DeepSeek V3 (66k) supports the largest context window, followed by DeepSeek R1 (64k).
DeepSeek R1 is the highest quality model offered by DeepSeek, followed by DeepSeek V3.Output Speed (tokens/s): DeepSeek V3 (29 t/s) is the fastest model offered by DeepSeek, followed by DeepSeek R1 (26 t/s).Latency (seconds): DeepSeek V3 (6.74s) is the lowest latency model offered by DeepSeek, followed by DeepSeek R1 (9.52s).Blended Price ($/M tokens): DeepSeek V3 ($0.48) is the cheapest model offered by DeepSeek, followed by DeepSeek R1 ($0.96).Context Window Size: DeepSeek V3 (66k) supports the largest context window, followed by DeepSeek R1 (64k).Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Key definitions
Context window: Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).
Output Speed: Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).
Latency: Time to first token of tokens received, in seconds, after API request sent. For models which do not support streaming, this represents time to receive the completion.
Price: Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Output Price: Price per token generated by the model (received from the API), represented as USD per million Tokens.
Input Price: Price per token included in the request/message sent to the API, represented as USD per million Tokens.
Time period: Metrics are 'live' and are based on the past 72 hours of measurements, measurements are taken 8 times a day for single requests and 2 times per day for parallel requests.