moonshot-v1-128k vs mistral-7b-instruct
Pricing, Performance & Features Comparison
Moonshot-v1-128k is a large language model with ultra-long context processing capabilities, capable of handling up to 128,000 tokens. It is designed for generating extremely long texts and meeting the demands of complex generation tasks, making it ideal for research, academia, and large document generation.
Input$2
Output$5
Latency (p50)-
Output Limit128K
Function Calling
JSON Mode
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InputText
OutputText
in$2out$5--
Success Rate (24h)
The mistralai/mistral-7b-instruct series is a 7B-parameter language model fine-tuned for instruction-based tasks. It supports an extended context window (up to 32K tokens) and can handle function calling, demonstrating strong instruct performance. As an early demonstration, it lacks built-in content moderation mechanisms.
Input$0.03
Output$0.055
Latency (p50)-
Output Limit256
Function Calling
JSON Mode
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InputText
OutputText
in$0.03out$0.055--