AI model comparison
Muse Spark 1.3 vs Hy4 preview
Side by side comparison of Muse Spark 1.3 and Hy4 preview on pricing, benchmark scores, context window, and more.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.05M
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total.
- Input / 1M
- $0.83
- Output / 1M
- $2.50
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hy4 preview
1.6x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Muse Spark 1.3
Released September 2, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Muse Spark 1.3 vs Hy4 preview API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $1.25 | $0.83 |
| Output tokensPer 1M tokens | $4.25 | $2.50 |
| Cached input (read)Per 1M tokens | $0.15 | $0.04 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.0025 | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 64K tokens |
| Input types | File, Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, Minimal | High, Low, None |
| Default reasoning effort | Medium | High |
| Release date | September 2, 2026 | August 28, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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- Hy4 preview vs Grok 4.7
- Hy4 preview vs GPT-6 Astra
- Hy4 preview vs Gemini 3.7 Flash
- Hy4 preview vs Step 3.7 Flash
- Hy4 preview vs Gemini 2.5 Flash
- Hy4 preview vs Gemini 3.5 Flash Lite
- Hy4 preview vs Qwen3.8 Max (0902)
- Hy4 preview vs Claude Haiku 4.5
- Hy4 preview vs GLM 5.3 FlashX
- Hy4 preview vs GPT-6.1 Terra
- Hy4 preview vs Qwen3.6 35B A3B
- Hy4 preview vs Grok 4.6
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Our take
Hy4 preview is 1.6x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Muse Spark 1.3 or Hy4 preview cheaper?
Hy4 preview is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy4 preview costs $0.83 per 1M input tokens and $2.50 per 1M output tokens, while Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens.
Which has a bigger context window, Muse Spark 1.3 or Hy4 preview?
Muse Spark 1.3 supports up to 1.05M tokens of context, compared with 1.05M for Hy4 preview.
Can I use Muse Spark 1.3 and Hy4 preview at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.3 and Hy4 preview answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Spark 1.3 and Hy4 preview at the same time. Compare the answers side by side and keep the best one.