Model Comparison

K-EXAONE-236B-A23B vs Muse Spark 1.1Which is better in 2026?

Comparing K-EXAONE-236B-A23B and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: K-EXAONE-236B-A23B vs Muse Spark 1.1 — which is better?

K-EXAONE-236B-A23B (by LG AI Research) 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, 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 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 K-EXAONE-236B-A23B if…

  • cost matters — it's about 2.9x cheaper per token

Choose Muse Spark 1.1 if…

  • 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

No common benchmarks found

K-EXAONE-236B-A23B 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

K-EXAONE-236B-A23B costs less

For input processing, K-EXAONE-236B-A23B ($0.60/1M tokens) is 2.1x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, K-EXAONE-236B-A23B ($1.00/1M tokens) is 4.3x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than K-EXAONE-236B-A23B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
LG AI Research
K-EXAONE-236B-A23B
Input tokens$0.60
Output tokens$1.00
Best providerFriendliAI
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to K-EXAONE-236B-A23B's 32,768 tokens. Muse Spark 1.1 can generate longer responses up to 131,072 tokens, while K-EXAONE-236B-A23B is limited to 32,768 tokens.

LG AI Research
K-EXAONE-236B-A23B
Input32,768 tokens
Output32,768 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Muse Spark 1.1 supports multimodal inputs, whereas K-EXAONE-236B-A23B does not.

Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

K-EXAONE-236B-A23B

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

K-EXAONE-236B-A23B

Proprietary

Closed source

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

K-EXAONE-236B-A23B was released on 2025-12-31, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 6 months newer than K-EXAONE-236B-A23B.

K-EXAONE-236B-A23B

Dec 31, 2025

6 months ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

6mo newer

Knowledge Cutoff

When training data ends

K-EXAONE-236B-A23B has a documented knowledge cutoff of 2025-10-01, while Muse Spark 1.1'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 1.1's cutoff date.

K-EXAONE-236B-A23B

Oct 2025

Muse Spark 1.1

—

Provider Availability

K-EXAONE-236B-A23B is available from FriendliAI. Muse Spark 1.1 is available from Meta Model API.

K-EXAONE-236B-A23B

friendli logo
FriendliAI
Input Price:Input: $0.60/1MOutput Price:Output: $1.00/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

LG AI Research
Less expensive input tokens
Less expensive output tokens
Meta
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against K-EXAONE-236B-A23B and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

K-EXAONE-236B-A23B
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
LG AI Research
K-EXAONE-236B-A23B
Meta
Muse Spark 1.1

FAQ

Common questions about K-EXAONE-236B-A23B vs Muse Spark 1.1.

Which is better, K-EXAONE-236B-A23B or Muse Spark 1.1?

K-EXAONE-236B-A23B (LG AI Research) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does K-EXAONE-236B-A23B compare to Muse Spark 1.1 in benchmarks?

K-EXAONE-236B-A23B scores AIME 2025: 92.8%, MMMLU: 85.7%, MMLU-Pro: 83.8%, LiveCodeBench v6: 80.7%, t2-bench: 73.2%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is K-EXAONE-236B-A23B cheaper than Muse Spark 1.1?

K-EXAONE-236B-A23B is 2.1x cheaper for input tokens. K-EXAONE-236B-A23B costs $0.60/M input and $1.00/M output via friendli. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for K-EXAONE-236B-A23B and Muse Spark 1.1?

K-EXAONE-236B-A23B supports 33K tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between K-EXAONE-236B-A23B and Muse Spark 1.1?

Key differences include context window (33K vs 1.0M), input pricing ($0.60 vs $1.25/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes K-EXAONE-236B-A23B and Muse Spark 1.1?

K-EXAONE-236B-A23B is developed by LG AI Research and Muse Spark 1.1 is developed by Meta.

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