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

Pricing, Performance & Features Comparison

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)824ms
Output Limit4K
Function Calling
JSON Mode
InputText
OutputText
in$0.7out$0.7--
Latency (24h)
Success Rate (24h)
Authormoonshot
Context Length8K
Reasoning
-
Providers1
ReleasedJan 2024
Knowledge CutoffJan 2023
License-

The Moonshot V1 8K model is specifically designed for short text generation tasks. It features efficient processing performance and can handle up to 8,192 tokens, making it suitable for brief dialogues, note-taking, and rapid content generation.

Input$0.2
Output$2
Latency (p50)1.5s
Output Limit8K
Function Calling
JSON Mode
InputText
OutputText
in$0.2out$2--
Latency (24h)
Success Rate (24h)