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jamba-instruct vs moonshot-v1-32k

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--
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)1.2s
Output Limit32K
Function Calling
JSON Mode
InputText
OutputText
in$1out$3--
Latency (24h)
Success Rate (24h)