Hy3 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.1 to 43.2. Muse Spark 1.3 is 2.0x cheaper per token.

Tencent · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.1 to 43.2, ranking #4 overall.

The models split the 2 individual benchmarks reported for both models evenly.

On price, Muse Spark 1.3 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 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 Hy3

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

Choose Muse Spark 1.3

overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
your work emphasizes reasoning and coding — it leads those capability indexes
cost matters — it's about 2.0x cheaper per token
you process long inputs — it offers a 1,048,576 token context window
you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Better token value: Muse Spark 1.3

Hy3

Tencent

Muse Spark 1.3

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Hy3

Muse Spark 1.3

Tool use

21.7#49 · 3 evals

35.8#2 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Hy3 · 11 for Muse Spark 1.3

2 shared

Hy3 outperforms in 1 benchmarks (DeepSearchQA), while Muse Spark 1.3 is better at 1 benchmark (Terminal-Bench 2.1).

Both models are evenly matched across the benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.3 costs less

For input processing, Hy3 ($0.14/1M tokens) is 1.4x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Hy3 ($0.58/1M tokens) is 2.9x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Hy3 is more expensive than Muse Spark 1.3.*

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

Lowest available price from all providers

Thu Sep 10 2026 • llm-stats.com

Hy3

Input tokens$0.14

Output tokens$0.58

Best providerDeepinfra

Muse Spark 1.3

Input tokens$0.10

Output tokens$0.20

Best providerMeta

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Hy3 is limited to 262,144 tokens.

Hy3

Input262,144 tokens

Output262,144 tokens

Muse Spark 1.3

Input1,048,576 tokens

Output943,718 tokens

Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Hy3 does not.

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

Hy3

Text

Images

Audio

Video

Muse Spark 1.3

Text

Images

Audio

Video

License

Usage and distribution terms

Hy3 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.

Hy3

Apache 2.0

Open weights

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 2 months newer than Hy3.

Hy3

Jul 6, 2026

2 months ago

Muse Spark 1.3

Sep 2, 2026

1 weeks ago

1mo 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

Provider Availability

Hy3 is available from DeepInfra. Muse Spark 1.3 is available from Meta Model API.

Hy3

Deepinfra

Input Price:Input: $0.14/1MOutput Price:Output: $0.58/1M

Muse Spark 1.3

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Hy3 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Hy3

✓ Preferred

Muse Spark 1.3

Open in Playground

FAQ

Common questions about Hy3 vs Muse Spark 1.3.

Which is better, Hy3 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.1 to 43.2. Hy3 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 Hy3 compare to Muse Spark 1.3 in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. 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%.

Is Hy3 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 1.4x cheaper for input tokens. Hy3 costs $0.14/M input and $0.58/M output via deepinfra. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Hy3 and Muse Spark 1.3?

Hy3 supports 262K 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 Hy3 and Muse Spark 1.3?

Key differences include LLM Stats Score (43.2 vs 55.1), context window (262K vs 1.0M), input pricing ($0.14 vs $0.10/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Muse Spark 1.3?

Hy3 is developed by Tencent and Muse Spark 1.3 is developed by Meta.

Hy3 vs Muse Spark 1.3