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jamba-instruct vs mixtral-8x22b-instruct

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 Length66K
Reasoning
-
Providers1
ReleasedApr 2024
Knowledge Cutoff-
LicenseApache License 2.0

Mixtral-8x22B-Instruct is a mixture-of-experts large language model fine-tuned for following instructions and performing tasks such as code generation, function calling, and multilingual text processing. It achieves strong results on math and coding benchmarks and supports up to a 64k-token context window for large document processing. This model is optimized for reasoning, cost efficiency, and ease of deployment.

Input$0.9
Output$0.9
Latency (p50)-
Output Limit1K
Function Calling
JSON Mode
-
InputText
OutputText
in$0.9out$0.9--