open-mixtral-8x22b vs llama-3-8b-instruct
Pricing, Performance & Features Comparison
Mixtral 8x22B is Mistral AI's latest open, sparse Mixture-of-Experts (SMoE) model that uses only 39B active parameters out of 141B for unparalleled cost efficiency. It features a 64K tokens context window, strong capabilities in mathematics and coding, and native function calling, while also being fluent in multiple European languages.
Input$2
Output$6
Latency (p50)1s
Output Limit4K
Function Calling
JSON Mode
InputText
OutputText
in$2out$6--
Latency (24h)
Success Rate (24h)
The Llama 3-8B-Instruct model is an 8B-parameter LLM optimized for dialogue and instruction-following. It leverages supervised fine-tuning and reinforcement learning from human feedback to align with helpfulness and safety standards. The model demonstrates strong text and code generation, along with improved reasoning and steerability.
Input$0.03
Output$0.06
Latency (p50)-
Output Limit4K
Function Calling
JSON Mode
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InputText
OutputText
in$0.03out$0.06--