Beam 1.0 vs Muse Spark 1.3
Muse Spark 1.3 leads the LLM Stats Score 52.2 to 44.6. Beam 1.0 is 3.3x cheaper per token.
Reflection AI · Meta · Updated for 2026
Which is better?
Muse Spark 1.3 leads the overall LLM Stats Score 52.2 to 44.6, ranking #13 overall.
In the 5 individual benchmarks reported for both models, Muse Spark 1.3 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Beam 1.0 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Beam 1.0
- cost matters — it's about 3.3x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.3
- overall performance matters — it scores 52.2 and ranks #13 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Beam 1.0 · 11 for Muse Spark 1.3
Beam 1.0 outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 5 benchmarks (AutomationBench, DeepSearchQA, DeepSWE 1.1, SWE Atlas - Codebase QnA, Terminal-Bench 2.1).
Muse Spark 1.3 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Beam 1.0 ($0.40/1M tokens) is 3.1x cheaper than Muse Spark 1.3 ($1.25/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark 1.3 ($4.25/1M tokens).
In conclusion, Muse Spark 1.3 is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Beam 1.0 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.3 supports multimodal inputs, whereas Beam 1.0 does not.
Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Muse Spark 1.3
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, 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.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Muse Spark 1.3 was released on 2026-09-02.
Beam 1.0 is 1 month newer than Muse Spark 1.3.
Oct 16, 2026
4 days ago
1mo newerSep 2, 2026
1 months ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Muse Spark 1.3's cutoff date is not specified.
We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Muse Spark 1.3's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Muse Spark 1.3 is available from Meta Model API.
Beam 1.0
Muse Spark 1.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Muse Spark 1.3.