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moonshot-v1-8k vs jamba-instruct

Pricing, Performance & Features Comparison

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)1.3s
Output Limit8K
Function Calling
JSON Mode
InputText
OutputText
in$0.2out$2--
Latency (24h)
Success Rate (24h)
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--