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Hy4 preview vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 51.3.

Tencent · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.4 to 51.3, ranking #5 overall.

In the 4 individual benchmarks reported for both models, Muse Spark 1.3 wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Hy4 preview

  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.4 and ranks #5 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
51.3
#13
55.4
#5
51.0
#10
53.0
#6
39.9
#11
41.6
#9
36.7
#13
40.6
#4
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hy4 preview
Muse Spark 1.3
31.4#10
35.4#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

32 reported for Hy4 preview · 11 for Muse Spark 1.3

4 shared

Hy4 preview outperforms in 0 benchmarks, while Muse Spark 1.3 is better at 4 benchmarks (AutomationBench, GDPval-AA, Job Bench, Terminal-Bench 2.1).

Muse Spark 1.3 significantly outperforms across most benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Tencent
Hy4 preview
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Hy4 preview does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Hy4 preview

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Hy4 preview is licensed under Apache 2.0, while Muse Spark 1.3 uses a proprietary license.

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

Hy4 preview

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Hy4 preview was released on 2026-08-28, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 0 month newer than Hy4 preview.

Hy4 preview

Aug 28, 2026

5 days ago

Muse Spark 1.3

Sep 2, 2026

0 days ago

5d 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

Judge for yourself.

Run your own prompts against Hy4 preview and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Hy4 preview
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Hy4 preview vs Muse Spark 1.3.

Which is better, Hy4 preview or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.4 to 51.3. Hy4 preview is made by Tencent and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Hy4 preview compare to Muse Spark 1.3 in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

What are the context window sizes for Hy4 preview and Muse Spark 1.3?

Hy4 preview supports an unknown number of tokens and Muse Spark 1.3 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 Hy4 preview and Muse Spark 1.3?

Key differences include LLM Stats Score (51.3 vs 55.4), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy4 preview and Muse Spark 1.3?

Hy4 preview is developed by Tencent and Muse Spark 1.3 is developed by Meta.