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K-EXAONE vs Muse Spark
K-EXAONE (LG AI Research) and Muse Spark (Meta AI) compared on benchmarks, pricing, context window, and use-case rankings.
- Muse Spark ranks higher for coding (79th vs 31th percentile).
| Attribute | K-EXAONE | Muse Spark |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | — | 154 |
| Coding | 31 | 79 |
| Math | 56 | 66 |
| Reasoning & Knowledge | 36 | 84 |
| Agentic & Tools | 28 | 64 |
| Specifications | ||
| Developer | LG AI Research | Meta AI |
| Family | — | — |
| Released | Dec 31, 2025 | Apr 8, 2026 |
| Parameters | 236B | — |
| Availability | API access | API access |
| Context window | — | — |
| Price — $/M input | — | — |
| Price — $/M output | — | — |
| Inputs | — | — |
| Outputs | — | — |
| Benchmarks | ||
| AIME 2024/2025 | 90% | 89% |
| GPQA Diamond | 78% | 90% |
| Humanity's Last Exam | 13% | 41% |
| LiveCodeBench | 77% | — |
| MMLU-Pro | 84% | — |
| SciCode | 36% | 52% |
| τ²-bench | 74% | 92% |
| FrontierMath | — | 39% |
| FrontierMath Tier 4 | — | 15% |
| SimpleQA Verified | — | 66% |
| WebDev Arena | — | 1513 |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Which is better for coding, K-EXAONE or Muse Spark?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Muse Spark ranks higher — 79th vs 31th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.