Hy3 vs Muse Spark Open
Hy3 and Muse Spark Open are closely matched at 42.6 and 44.9 on the LLM Stats Score. Hy3 is 8.0x cheaper per token.
Tencent · Meta · Updated for 2026
Which is better?
Hy3 and Muse Spark Open are closely matched on the overall LLM Stats Score at 42.6 and 44.9.
In the 3 individual benchmarks reported for both models, Muse Spark Open wins 2; 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 Open 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
Choose Muse Spark Open
- you value its reported benchmark strengths — it wins 2 of 3 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 Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Hy3 · 17 for Muse Spark Open
Hy3 outperforms in 1 benchmarks (GPQA), while Muse Spark Open is better at 2 benchmarks (MCP Atlas, Terminal-Bench 2.1).
Muse Spark Open shows notably better performance in the majority of 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 Open ($1.25/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 7.3x cheaper than Muse Spark Open ($4.25/1M tokens).
In conclusion, Muse Spark Open is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Muse Spark Open has 521.0B more parameters than Hy3, making it 176.6% larger.
Context Window
Maximum input and output token capacity
Muse Spark Open accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. Muse Spark Open can generate longer responses up to 1,048,576 tokens, while Hy3 is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas Hy3 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy3
Muse Spark Open
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Muse Model License
Open weights
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 3 months newer than Hy3.
Jul 6, 2026
3 months ago
Oct 15, 2026
4 days ago
3mo 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 Open is available from Together.
Hy3
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Muse Spark Open.