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jamba-instruct vs open-mixtral-8x22b

Pricing, Performance & Features Comparison

Price unit:
Authorai21
Context Length256K
Reasoning
-
Providers1
ReleasedMar 2024
Knowledge CutoffMar 2024
License-

ai21/jamba-instruct is an instruction-tuned LLM from AI21 Labs, built on the Mamba-Transformer architecture. It provides a 256k-token context window and excels at tasks like summarization, entity extraction, function calling, JSON-based output, and citation. It is specifically designed for enterprise use and top-tier performance across multiple benchmarks.

Input$0.5
Output$0.7
Latency (p50)-
Output Limit4K
Function Calling
JSON Mode
InputText
OutputText
in$0.5out$0.7--
Authormistral
Context Length64K
Reasoning
-
Providers1
ReleasedApr 2024
Knowledge CutoffSep 2021
License-

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)737ms
Output Limit4K
Function Calling
JSON Mode
InputText
OutputText
in$2out$6--
Latency (24h)
Success Rate (24h)