Model Comparison
Jamba 1.5 Large vs Muse Spark 1.1Which is better in 2026?
Comparing Jamba 1.5 Large and Muse Spark 1.1 across benchmarks, pricing, and capabilities.
Verdict: Jamba 1.5 Large vs Muse Spark 1.1 — which is better?
Jamba 1.5 Large (by AI21 Labs) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
On price, Muse Spark 1.1 is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Jamba 1.5 Large if…
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.1 if…
- cost matters — it's about 1.8x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Jamba 1.5 Large and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Jamba 1.5 Large ($2.00/1M tokens) is 1.6x more expensive than Muse Spark 1.1 ($1.25/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 1.9x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Muse Spark 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.1 accepts 1,048,576 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Jamba 1.5 Large can generate longer responses up to 256,000 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Muse Spark 1.1 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Muse Spark 1.1
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Muse Spark 1.1 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 Large was released on 2024-08-22, while Muse Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 23 months newer than Jamba 1.5 Large.
Aug 22, 2024
1.9 years ago
Jul 9, 2026
1 weeks ago
1.9yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Muse Spark 1.1's cutoff date is not specified.
We can confirm Jamba 1.5 Large's training data extends to 2024-03-05, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Muse Spark 1.1 is available from Meta Model API.
Jamba 1.5 Large
Muse Spark 1.1
Outputs Comparison
Key Takeaways
Jamba 1.5 Large
View detailsAI21 Labs
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Jamba 1.5 Large vs Muse Spark 1.1.