GPT-6 Cyber vs Jamba 1.5 Mini
GPT-6 Cyber leads the LLM Stats Score 41.0 to -6.2. Jamba 1.5 Mini is 160.0x cheaper per token.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -6.2, ranking #77 overall.
On price, Jamba 1.5 Mini is roughly 160.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Cyber also accepts a larger context window (1,050,000 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 GPT-6 Cyber
- overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Nov 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 160.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
1 reported for GPT-6 Cyber · 8 for Jamba 1.5 Mini
GPT-6 Cyber and Jamba 1.5 Minidon'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 Cyber ($20.00/1M tokens) is 100.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, GPT-6 Cyber ($100.00/1M tokens) is 250.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, GPT-6 Cyber is more expensive than Jamba 1.5 Mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Cyber accepts 1,050,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Jamba 1.5 Mini can generate longer responses up to 256,144 tokens, while GPT-6 Cyber is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Cyber supports multimodal inputs, whereas Jamba 1.5 Mini does not.
GPT-6 Cyber can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Cyber
Jamba 1.5 Mini
License
Usage and distribution terms
GPT-6 Cyber is licensed under a proprietary license, while Jamba 1.5 Mini 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 Cyber was released on 2026-11-05, while Jamba 1.5 Mini was released on 2024-08-22.
GPT-6 Cyber is 27 months newer than Jamba 1.5 Mini.
Nov 5, 2026
4 days ago
2.2yr newerAug 22, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while GPT-6 Cyber's cutoff date is not specified.
We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without GPT-6 Cyber's cutoff date.
—
Mar 2024
Provider Availability
GPT-6 Cyber is available from OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.
GPT-6 Cyber
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Cyber and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Cyber vs Jamba 1.5 Mini.