GPT-6.1 Terra vs Jamba 1.5 Mini
GPT-6.1 Terra leads the LLM Stats Score 47.5 to -6.1. Jamba 1.5 Mini is 8.0x cheaper per token.
OpenAI · AI21 Labs · Updated for 2026
Which is better?
GPT-6.1 Terra leads the overall LLM Stats Score 47.5 to -6.1, ranking #36 overall.
On price, Jamba 1.5 Mini is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6.1 Terra 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-6.1 Terra
- overall performance matters — it scores 47.5 and ranks #36 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 Oct 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 8.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-6.1 Terra · 8 for Jamba 1.5 Mini
GPT-6.1 Terra 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-6.1 Terra ($1.00/1M tokens) is 5.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, GPT-6.1 Terra ($5.00/1M tokens) is 12.5x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, GPT-6.1 Terra 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-6.1 Terra 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-6.1 Terra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6.1 Terra supports multimodal inputs, whereas Jamba 1.5 Mini does not.
GPT-6.1 Terra can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6.1 Terra
Jamba 1.5 Mini
License
Usage and distribution terms
GPT-6.1 Terra 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-6.1 Terra was released on 2026-10-26, while Jamba 1.5 Mini was released on 2024-08-22.
GPT-6.1 Terra is 27 months newer than Jamba 1.5 Mini.
Oct 26, 2026
0 days ago
2.2yr newerAug 22, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
GPT-6.1 Terra has a knowledge cutoff of 2026-06-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.
GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Jamba 1.5 Mini (2024-03-05).
Jun 2026
2.3 yr newerMar 2024
Provider Availability
GPT-6.1 Terra is available from OpenAI. Jamba 1.5 Mini is available from Bedrock, Google.
GPT-6.1 Terra
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6.1 Terra and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6.1 Terra vs Jamba 1.5 Mini.