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Hy3 preview vs Muse Spark 1.3

Hy3 preview

Tencent

68#176
vs
Signal-by-Signal Comparison
SignalHy3 previewDeltaMuse Spark 1.3
Capabilities
50
-50
100
Benchmarks
68
+68
0
Pricing
99
+4
96
Context window size
86
-9
96
Recency
100
--
100
Output Capacity
86
-10
96
Overall Result
2 wins
of 6
3 wins
Muse Spark 1.3 wins 3 of 6 signals

Score History

Score History (21 data points)
Hy3 previewMuse Spark 1.3
Hy3 preview

68.4

current score

Leader

Muse Spark 1.3

right now

Muse Spark 1.3

80.9

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Hy3 preview

Tencent

Best Value
Per request$0.000480
Daily$1.60
Monthly$48.00
Annual$576.00

Muse Spark 1.3

meta

Per request$0.003375
Daily$11.25
Monthly$337.50
Annual$4050.00

Hy3 preview saves you $289.50/month

That's $3474.00/year compared to Muse Spark 1.3 at your current usage level of 100K calls/month.

86% cheaper
Choose Hy3 preview for cost optimization

Hy3 preview pricing:
Input:$0.18/M tokens
Output:$0.60/M tokens
Muse Spark 1.3 pricing:
Input:$1.25/M tokens
Output:$4.25/M tokens
Hy3 preview

Tencent

68

Composite Score

Winner
Muse Spark 1.3

meta

81

Composite Score

Signal-by-Signal Comparison
MetricHy3 previewMuse Spark 1.3Winner
Overall Score
68
81
Muse Spark 1.3
Rank#176#83
Muse Spark 1.3
Quality Rank#176#83
Muse Spark 1.3
Adoption Rank#176#83
Muse Spark 1.3
Parameters------
Context Window262K1049K
Muse Spark 1.3
Pricing$0.18/$0.60/M$1.25/$4.25/M--
Signal Scores
Capabilities
50
100
Muse Spark 1.3
Benchmarks
68
--
Hy3 preview
Pricing
99
96
Hy3 preview
Context window size
86
96
Muse Spark 1.3
Recency
100
100
Hy3 preview
Output Capacity
86
96
Muse Spark 1.3
Benchmark Head-to-Head(1 benchmarks)
Hy3 preview: 0Muse Spark: 0
Hy3 preview
Muse Spark
Normalized 0-100%
Arena Elo
1413-
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Hy3 previewCompetitive

Scores 68/100 (rank #176), placing it in the top 40% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.3Strong Performer

Scores 81/100 (rank #83), placing it in the top 72% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Muse Spark 1.3 has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Hy3 preview when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model

Choose Muse Spark 1.3 when you need:

  • Processing long documents or large codebases (1049K token context)
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Hy3 previewBest Value
Input cost$0.18/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.011
Est. monthly (1M tokens/day)$11.70
Muse Spark 1.3
Input cost$1.25/M tokens
Output cost$4.25/M tokens
Cost per quality point$0.068
Est. monthly (1M tokens/day)$82.50

Hy3 preview offers 86% better value per quality point. At 1M tokens/day, you'd spend $11.70/month with Hy3 preview vs $82.50/month with Muse Spark 1.3 - a $70.80 monthly difference.

Latency & Speed
Hy3 previewFaster
Speed score0/100
Muse Spark 1.3
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Hy3 preview

Customer support chatbot

Suitable for user-facing chat with competitive response times. Hy3 preview also offers lower per-token costs for high-volume support

Hy3 preview

Long document analysis

Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass

Muse Spark 1.3

Batch data extraction

Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily

Hy3 preview

Creative writing & content

Higher overall composite score (81/100) correlates with better nuance, coherence, and style in long-form content

Muse Spark 1.3

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Muse Spark 1.3
Which Should You Choose?
Our recommendation:
Muse Spark 1.3

Muse Spark 1.3 clearly outperforms Hy3 preview with a significant 12.5-point lead. For most general use cases, Muse Spark 1.3 is the stronger choice. However, Hy3 preview may still excel in niche scenarios.

by Tencent

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 86% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
Muse Spark 1.3
Recommended

by meta

Consider for specialized use cases.

Capability Comparison
CapabilityHy3 previewMuse Spark 1.3
Vision (Image Input)differs
Function Calling
Streaming
JSON Modediffers
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Hy3 preview

Tencent

Best Value
$1.04
estimated monthly cost

Muse Spark 1.3

meta

$7.35
estimated monthly cost

Hy3 preview saves you $6.31/month

That's 86% cheaper than Muse Spark 1.3 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterHy3 previewMuse Spark 1.3
Context Window262K1.0M
Max Output Tokens235,929943,718
Open SourceYesNo
CreatedApr 22, 2026Sep 2, 2026
Last updated: 18m ago

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