Jamba 1.5 Mini vs Muse Wonder
Muse Wonder leads the LLM Stats Score 47.9 to -5.7. Jamba 1.5 Mini is 32.0x cheaper per token.
AI21 Labs · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to -5.7, ranking #29 overall.
On price, Jamba 1.5 Mini is roughly 32.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder also accepts a larger context window (1,048,576 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 Jamba 1.5 Mini
- cost matters — it's about 32.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Wonder
- overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Jamba 1.5 Mini · 16 for Muse Wonder
Jamba 1.5 Mini and Muse Wonderdon'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, Jamba 1.5 Mini ($0.20/1M tokens) is 20.0x cheaper than Muse Wonder ($4.00/1M tokens).
For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 50.0x cheaper than Muse Wonder ($20.00/1M tokens).
In conclusion, Muse Wonder 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
Muse Wonder accepts 1,048,576 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
Muse Wonder supports multimodal inputs, whereas Jamba 1.5 Mini does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Mini
Muse Wonder
License
Usage and distribution terms
Jamba 1.5 Mini is licensed under Jamba Open Model License, while Muse Wonder uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Jamba Open Model License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Jamba 1.5 Mini was released on 2024-08-22, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 26 months newer than Jamba 1.5 Mini.
Aug 22, 2024
2.1 years ago
Oct 12, 2026
0 days ago
2.1yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Muse Wonder'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 Muse Wonder's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Mini is available from Bedrock, Google. Muse Wonder is available from Meta Model API.
Jamba 1.5 Mini
Muse Wonder
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Mini and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Mini vs Muse Wonder.