Grok 4.7 vs Jamba 1.5 Mini
Grok 4.7 leads the LLM Stats Score 48.5 to -5.7. Jamba 1.5 Mini is 12.0x cheaper per token.
xAI · AI21 Labs · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to -5.7, ranking #23 overall.
On price, Jamba 1.5 Mini is roughly 12.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 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 Grok 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Jamba 1.5 Mini
- cost matters — it's about 12.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 8 for Jamba 1.5 Mini
Grok 4.7 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, Grok 4.7 ($2.00/1M tokens) is 10.0x more expensive than Jamba 1.5 Mini ($0.20/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 15.0x more expensive than Jamba 1.5 Mini ($0.40/1M tokens).
In conclusion, Grok 4.7 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
Grok 4.7 accepts 500,000 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Only Jamba 1.5 Mini specifies output context (256,144 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas Jamba 1.5 Mini does not.
Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.7
Jamba 1.5 Mini
License
Usage and distribution terms
Grok 4.7 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
Grok 4.7 was released on 2026-09-21, while Jamba 1.5 Mini was released on 2024-08-22.
Grok 4.7 is 25 months newer than Jamba 1.5 Mini.
Sep 21, 2026
0 days ago
2.1yr newerAug 22, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a knowledge cutoff of 2026-06-01, while Jamba 1.5 Mini has a cutoff of 2024-03-05.
Grok 4.7 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
Grok 4.7 is available from xAI. Jamba 1.5 Mini is available from Bedrock, Google.
Grok 4.7
Jamba 1.5 Mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Jamba 1.5 Mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Jamba 1.5 Mini.