Jamba 1.5 Large vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 55.4 to 1.2. Muse Spark 1.3 is 28.0x cheaper per token.
AI21 Labs · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 1.2, ranking #5 overall.
On price, Muse Spark 1.3 is roughly 28.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.3 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 Large
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 28.0x 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 Sep 2026
At a glance
The differences that matter most.
Individual benchmarks
8 reported for Jamba 1.5 Large · 11 for Muse Spark 1.3
Jamba 1.5 Large and Muse Spark 1.3don'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 Large ($2.00/1M tokens) is 20.0x more expensive than Muse Spark 1.3 ($0.10/1M tokens).
For output processing, Jamba 1.5 Large ($8.00/1M tokens) is 40.0x more expensive than Muse Spark 1.3 ($0.20/1M tokens).
In conclusion, Jamba 1.5 Large is more expensive than Muse Spark 1.3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.3 accepts 1,048,576 input tokens compared to Jamba 1.5 Large's 256,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Jamba 1.5 Large is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Jamba 1.5 Large does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Jamba 1.5 Large
Muse Spark 1.3
License
Usage and distribution terms
Jamba 1.5 Large is licensed under Jamba Open Model License, while Muse Spark 1.3 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 1.3 was released on 2026-09-02.
Muse Spark 1.3 is 25 months newer than Jamba 1.5 Large.
Aug 22, 2024
2.0 years ago
Sep 2, 2026
0 days ago
2.0yr newerKnowledge Cutoff
When training data ends
Jamba 1.5 Large has a documented knowledge cutoff of 2024-03-05, while Muse Spark 1.3'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 1.3's cutoff date.
Mar 2024
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Provider Availability
Jamba 1.5 Large is available from Bedrock, Google. Muse Spark 1.3 is available from Meta Model API.
Jamba 1.5 Large
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Jamba 1.5 Large and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Jamba 1.5 Large vs Muse Spark 1.3.