GPT-6 Sol vs Jamba 1.5 Mini
GPT-6 Sol leads the LLM Stats Score 49.4 to -5.7. Jamba 1.5 Mini is 16.0x cheaper per token.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-6 Sol leads the overall LLM Stats Score 49.4 to -5.7, ranking #21 overall.
On price, Jamba 1.5 Mini is roughly 16.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Sol 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 Sol
- overall performance matters — it scores 49.4 and ranks #21 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 16.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
5 reported for GPT-6 Sol · 8 for Jamba 1.5 Mini
GPT-6 Sol 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 Sol ($2.00/1M tokens) is 10.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, GPT-6 Sol ($10.00/1M tokens) is 25.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, GPT-6 Sol 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 Sol 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 Sol is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Sol supports multimodal inputs, whereas Jamba 1.5 Mini does not.
GPT-6 Sol can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Sol
Jamba 1.5 Mini
License
Usage and distribution terms
GPT-6 Sol 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 Sol was released on 2026-09-22, while Jamba 1.5 Mini was released on 2024-08-22.
GPT-6 Sol is 25 months newer than Jamba 1.5 Mini.
Sep 22, 2026
0 days ago
2.1yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-6 Sol has a knowledge cutoff of 2026-04-20, while Jamba 1.5 Mini has a cutoff of 2024-03-05.
GPT-6 Sol has more recent training data (up to 2026-04-20), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).
Apr 2026
2.1 yr newerMar 2024
Provider Availability
GPT-6 Sol is available from OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.
GPT-6 Sol
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Sol and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Sol vs Jamba 1.5 Mini.