Beam 1.0 vs Muse Spark Open
Beam 1.0 and Muse Spark Open are closely matched at 44.6 and 45.3 on the LLM Stats Score. Beam 1.0 is 3.3x cheaper per token.
Reflection AI · Meta · Updated for 2026
Which is better?
Beam 1.0 and Muse Spark Open are closely matched on the overall LLM Stats Score at 44.6 and 45.3.
In the 8 individual benchmarks reported for both models, Muse Spark Open wins 6; 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
Choose Muse Spark Open
- you value its reported benchmark strengths — it wins 6 of 8 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 · 17 for Muse Spark Open
Beam 1.0 outperforms in 2 benchmarks (GPQA, Terminal-Bench 2.1), while Muse Spark Open is better at 6 benchmarks (AA-Omniscience Index, DeepSWE 1.1, Humanity's Last Exam (with tools), MCP Atlas, SciCode, SWE Atlas - Codebase QnA).
Muse Spark Open shows notably better performance in the majority of 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 Open ($1.25/1M tokens).
For output processing, Beam 1.0 ($1.20/1M tokens) is 3.5x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Beam 1.0.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 314.7B more parameters than Beam 1.0, making it 62.8% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Beam 1.0 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Beam 1.0 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Beam 1.0
Muse Spark Open
License
Usage and distribution terms
Beam 1.0 is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Beam 1.0 was released on 2026-10-16, while Muse Spark Open was released on 2026-10-15.
Beam 1.0 is 0 month newer than Muse Spark Open.
Oct 16, 2026
3 days ago
1d newerOct 15, 2026
4 days ago
Knowledge Cutoff
When training data ends
Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Muse Spark Open'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 Open's cutoff date.
Jun 2026
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Provider Availability
Beam 1.0 is available from Together, Reflection AI. Muse Spark Open is available from Together.
Beam 1.0
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Beam 1.0 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Beam 1.0 vs Muse Spark Open.