Model Comparison

Muse Spark vs Hy3Which is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: Muse Spark vs Hy3 — which is better?

Muse Spark (by Meta) and Hy3 (by Tencent) 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.

Muse Spark outperforms in 1 benchmarks (FrontierScience Research), while Hy3 is better at 4 benchmarks (DeepSearchQA, GPQA, SWE-Bench Pro, SWE-Bench Verified). Hy3 significantly outperforms across most benchmarks.

Choose Muse Spark if…

  • you are already invested in the Meta ecosystem

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Muse Spark outperforms in 1 benchmarks (FrontierScience Research), while Hy3 is better at 4 benchmarks (DeepSearchQA, GPQA, SWE-Bench Pro, SWE-Bench Verified).

Hy3 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Muse Spark supports multimodal inputs, whereas Hy3 does not.

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

Muse Spark

Text
Images
Audio
Video

Hy3

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Spark is licensed under a proprietary license, while Hy3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Spark

Proprietary

Closed source

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Muse Spark was released on 2026-04-08, while Hy3 was released on 2026-07-06.

Hy3 is 3 months newer than Muse Spark.

Muse Spark

Apr 8, 2026

3 months ago

Hy3

Jul 6, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Supports multimodal inputs
Higher FrontierScience Research score (38.3% vs 21.3%)
Tencent
Has open weights
Higher DeepSearchQA score (91.0% vs 74.8%)
Higher GPQA score (90.4% vs 89.5%)
Higher SWE-Bench Pro score (57.9% vs 52.4%)
Higher SWE-Bench Verified score (78.0% vs 77.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Muse Spark and Hy3 side-by-side, then vote on the output you prefer.

Muse Spark
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
Meta
Muse Spark
Tencent
Hy3

FAQ

Common questions about Muse Spark vs Hy3.

Which is better, Muse Spark or Hy3?

Hy3 significantly outperforms across most benchmarks. Muse Spark is made by Meta and Hy3 is made by Tencent. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Muse Spark compare to Hy3 in benchmarks?

Muse Spark scores Tau2 Telecom: 91.5%, GPQA: 89.5%, CharXiv-R: 86.4%, ScreenSpot Pro: 84.1%, IPhO 2025: 82.6%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the main differences between Muse Spark and Hy3?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Spark and Hy3?

Muse Spark is developed by Meta and Hy3 is developed by Tencent.

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