Hy3 vs Muse Spark 1.2
Hy3 and Muse Spark 1.2 are closely matched at 43.2 and 39.8 on the LLM Stats Score. Hy3 is 8.0x cheaper per token.
Tencent · Meta · Updated for 2026
Which is better?
Hy3 and Muse Spark 1.2 are closely matched on the overall LLM Stats Score at 43.2 and 39.8.
In the 1 individual benchmarks reported for both models, Muse Spark 1.2 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Spark 1.2 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
- cost matters — it's about 8.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Muse Spark 1.2
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
31 reported for Hy3 · 3 for Muse Spark 1.2
Hy3 outperforms in 0 benchmarks, while Muse Spark 1.2 is better at 1 benchmark (Terminal-Bench 2.1).
Muse Spark 1.2 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hy3 ($0.14/1M tokens) is 8.9x cheaper than Muse Spark 1.2 ($1.25/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 7.3x cheaper than Muse Spark 1.2 ($4.25/1M tokens).
In conclusion, Muse Spark 1.2 is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Spark 1.2 accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while Muse Spark 1.2 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark 1.2 supports multimodal inputs, whereas Hy3 does not.
Muse Spark 1.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy3
Muse Spark 1.2
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, while Muse Spark 1.2 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Muse Spark 1.2 was released on 2026-08-05.
Muse Spark 1.2 is 1 month newer than Hy3.
Jul 6, 2026
2 months ago
Aug 5, 2026
1 months ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. Muse Spark 1.2 is available from Meta Model API.
Hy3
Muse Spark 1.2
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Muse Spark 1.2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Muse Spark 1.2.