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moonshot-v1-32k vs open-mixtral-8x7b

Pricing, Performance & Features Comparison

Price unit:
Authormoonshot
Context Length32K
Reasoning
-
Providers1
ReleasedFeb 2024
Knowledge Cutoff-
License-

The moonshot-v1-32k is a large language model developed by Moonshot AI that excels in natural language processing with high-resolution understanding, multilingual support, and context awareness. It features a 32k maximum context length, making it particularly suitable for generating longer texts and handling complex generation tasks. This model is part of Moonshot's text generation series, designed to understand both natural and written language.

Input$1
Output$3
Latency (p50)1.3s
Output Limit32K
Function Calling
JSON Mode
InputText
OutputText
in$1out$3--
Latency (24h)
Success Rate (24h)
Authormistral
Context Length33K
Reasoning
-
Providers1
ReleasedFeb 2024
Knowledge CutoffDec 2023
License-

Mixtral 8x7B is a high-quality sparse mixture of experts (SMoE) large language model with open weights, released under Apache 2.0 license. Despite having 45 billion parameters, its architecture requires compute equivalent to a 14 billion parameter model, enabling 6x faster inference and strong performance that outperforms Llama 2 70B and matches or exceeds GPT-3.5 on many benchmarks.

Input$0.7
Output$0.7
Latency (p50)744ms
Output Limit4K
Function Calling
JSON Mode
InputText
OutputText
in$0.7out$0.7--
Latency (24h)
Success Rate (24h)