Jamba 1.5 Large vs Parse
Comparing Jamba 1.5 Large and Parse across benchmarks, pricing, and capabilities.
AI21 Labs · Cohere · Updated for 2026
Which is better?
Jamba 1.5 Large and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Jamba 1.5 Large also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Jamba 1.5 Large
- you process long inputs — it offers a 256,000 token context window
- you need open weights you can self-host or fine-tune
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Jamba 1.5 Large · 1 for Parse
Jamba 1.5 Large and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Jamba 1.5 Large has 395.7B more parameters than Parse, making it 17204.3% larger.
Context Window
Maximum input and output token capacity
Jamba 1.5 Large accepts 256,000 input tokens compared to Parse's 8,192 tokens. Only Jamba 1.5 Large specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
Parse supports multimodal inputs, whereas Jamba 1.5 Large does not.
Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Parse
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Jamba 1.5 Large was released on 2024-08-22, while Parse was released on 2026-08-27.
Parse is 25 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Aug 27, 2026
3 days ago
2.0yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Parse's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Parse's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Parse is available from Azure, Cohere.
Jamba 1.5 Large
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Parse.