K-EXAONE-236B-A23B vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 45.3 to 25.8. K-EXAONE-236B-A23B is 2.9x cheaper per token.
LG AI Research · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 45.3 to 25.8, ranking #42 overall.
On price, K-EXAONE-236B-A23B is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark Open 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 K-EXAONE-236B-A23B
- cost matters — it's about 2.9x cheaper per token
Choose Muse Spark Open
- overall performance matters — it scores 45.3 and ranks #42 on LLM Stats
- your work emphasizes reasoning and agents — 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
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for K-EXAONE-236B-A23B · 17 for Muse Spark Open
K-EXAONE-236B-A23B and Muse Spark Opendon'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, K-EXAONE-236B-A23B ($0.60/1M tokens) is 2.1x cheaper than Muse Spark Open ($1.25/1M tokens).
For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 4.3x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than K-EXAONE-236B-A23B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 580.0B more parameters than K-EXAONE-236B-A23B, making it 245.8% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
K-EXAONE-236B-A23B
Muse Spark Open
License
Usage and distribution terms
K-EXAONE-236B-A23B is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
K-EXAONE-236B-A23B was released on 2025-12-31, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 10 months newer than K-EXAONE-236B-A23B.
Dec 31, 2025
9 months ago
Oct 15, 2026
4 days ago
9mo newerKnowledge Cutoff
When training data ends
K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Muse Spark Open's cutoff date is not specified.
We can confirm K-EXAONE-236B-A23B's training data extends to 2025-10-01, but cannot make a direct comparison without Muse Spark Open's cutoff date.
Oct 2025
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Provider Availability
K-EXAONE-236B-A23B is available from FriendliAI. Muse Spark Open is available from Together.
K-EXAONE-236B-A23B
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against K-EXAONE-236B-A23B and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about K-EXAONE-236B-A23B vs Muse Spark Open.