DeepSeek-V2-Chat: Quality, Performance & Price Analysis
Analysis of DeepSeek's DeepSeek-V2-Chat and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Click on any model to compare API providers for that model. For more details including relating to our methodology, see our FAQs.
Comparison Summary
Quality:
DeepSeek-V2 is of higher quality compared to average, with a MMLU score of 0.785 and a Quality Index across evaluations of 66.
Price:DeepSeek-V2 is cheaper compared to average with a price of $0.17 per 1M Tokens (blended 3:1).
DeepSeek-V2 Input token price: $0.14, Output token price: $0.28 per 1M Tokens.
Speed:DeepSeek-V2 Input token price: $0.14, Output token price: $0.28 per 1M Tokens.
DeepSeek-V2 is slower compared to average, with a output speed of 16.4 tokens per second.
Latency:DeepSeek-V2 has a lower latency compared to average, taking 1.07s to receive the first token (TTFT).
Context Window:DeepSeek-V2 has a smaller context windows than average, with a context window of 130k tokens.
Highlights
Quality
Artificial Analysis Quality Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Further details
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