GPT-6 Rosalind vs Jamba 1.5 Large
Comparing GPT-6 Rosalind and Jamba 1.5 Large across benchmarks, pricing, and capabilities.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-6 Rosalind and Jamba 1.5 Large trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Jamba 1.5 Large is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Rosalind
- you want the most recent training data — it shipped Oct 2026
Choose Jamba 1.5 Large
- cost matters — it's about 8.6x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
0 reported for GPT-6 Rosalind · 8 for Jamba 1.5 Large
GPT-6 Rosalind and Jamba 1.5 Largedon'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
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Rosalind ($15.00/1M tokens) is 7.5x more expensive than Jamba 1.5 Large ($2.00/1M tokens).
For output processing, GPT-6 Rosalind ($75.00/1M tokens) is 9.4x more expensive than Jamba 1.5 Large ($8.00/1M tokens).
In conclusion, GPT-6 Rosalind is more expensive than Jamba 1.5 Large.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Only Jamba 1.5 Large specifies input context (256,000 tokens). Only Jamba 1.5 Large specifies output context (256,000 tokens).
Input capabilities
Documented input modalities across available providers
GPT-6 Rosalind supports multimodal inputs, whereas Jamba 1.5 Large does not.
GPT-6 Rosalind can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Rosalind
Jamba 1.5 Large
License
Usage and distribution terms
GPT-6 Rosalind is licensed under a proprietary license, while Jamba 1.5 Large uses Jamba Open Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Jamba Open Model License
Open weights
Release Timeline
When each model was launched
GPT-6 Rosalind was released on 2026-10-30, while Jamba 1.5 Large was released on 2024-08-22.
GPT-6 Rosalind is 27 months newer than Jamba 1.5 Large.
Oct 30, 2026
2 days ago
2.2yr newerAug 22, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while GPT-6 Rosalind'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 GPT-6 Rosalind's cutoff date.
—
Mar 2024
Provider Availability
GPT-6 Rosalind is available from OpenAI. Jamba 1.5 Large is available from Bedrock, Google.
GPT-6 Rosalind
Jamba 1.5 Large
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Rosalind and Jamba 1.5 Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Rosalind vs Jamba 1.5 Large.