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Hy4 preview vs Muse Spark 1.2 Contributor

Hy4 preview

Tencent

40#204
vs
Signal-by-Signal Comparison
SignalHy4 previewDeltaMuse Spark 1.2 Contributor
Capabilities
67
-33
100
Pricing
98
-2
100
Context window size
96
--
96
Recency
100
--
100
Output Capacity
77
-19
96
Overall Result
0 wins
of 5
3 wins
Muse Spark 1.2 Contributor wins 3 of 5 signals

Score History

Score History (2 data points)
Hy4 previewMuse Spark 1.2 Contributor
Hy4 preview

40

current score

Leader

Tied

right now

Muse Spark 1.2 Contributor

40

current score

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

Hy4 preview

Tencent

Per request$0.002084
Daily$6.95
Monthly$208.45
Annual$2501.40

Muse Spark 1.2 Contributor

meta

Best Value
Per request$0.000200
Daily$0.67
Monthly$20.00
Annual$240.00

Muse Spark 1.2 Contributor saves you $188.45/month

That's $2261.40/year compared to Hy4 preview at your current usage level of 100K calls/month.

90% cheaper
Choose Muse Spark 1.2 Contributor for cost optimization

Hy4 preview pricing:
Input:$0.83/M tokens
Output:$2.50/M tokens
Muse Spark 1.2 Contributor pricing:
Input:$0.10/M tokens
Output:$0.20/M tokens
Tie
Hy4 preview

Tencent

40

Composite Score

Tie
Muse Spark 1.2 Contributor

meta

40

Composite Score

Signal-by-Signal Comparison
MetricHy4 previewMuse Spark 1.2 ContributorWinner
Overall Score
40
40
--
Rank#204#207
Hy4 preview
Quality Rank#204#207
Hy4 preview
Adoption Rank#204#207
Hy4 preview
Parameters------
Context Window1049K1049K--
Pricing$0.83/$2.50/M$0.10/$0.20/M--
Signal Scores
Capabilities
67
100
Muse Spark 1.2 Contributor
Pricing
98
100
Muse Spark 1.2 Contributor
Context window size
96
96
Hy4 preview
Recency
100
100
Hy4 preview
Output Capacity
77
96
Muse Spark 1.2 Contributor
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.

Hy4 previewEntry Level

Scores 40/100 (rank #204), placing it in the top 30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Muse Spark 1.2 ContributorEntry Level

Scores 40/100 (rank #207), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.

When to Use Each Model

Choose Hy4 preview when you need:

  • Step-by-step reasoning and chain-of-thought problem solving

Choose Muse Spark 1.2 Contributor when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Hy4 preview
Input cost$0.83/M tokens
Output cost$2.50/M tokens
Cost per quality point$0.083
Est. monthly (1M tokens/day)$50.02
Muse Spark 1.2 ContributorBest Value
Input cost$0.10/M tokens
Output cost$0.20/M tokens
Cost per quality point$0.007
Est. monthly (1M tokens/day)$4.50

Muse Spark 1.2 Contributor offers 91% better value per quality point. At 1M tokens/day, you'd spend $4.50/month with Muse Spark 1.2 Contributor vs $50.02/month with Hy4 preview - a $45.52 monthly difference.

Latency & Speed
Hy4 previewFaster
Speed score0/100
Muse Spark 1.2 Contributor
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

Hy4 preview

Customer support chatbot

Suitable for user-facing chat with competitive response times. Muse Spark 1.2 Contributor also offers lower per-token costs for high-volume support

Hy4 preview

Long document analysis

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

Hy4 preview

Batch data extraction

Lower output pricing ($0.20/M) reduces costs when processing thousands of records daily

Muse Spark 1.2 Contributor

Creative writing & content

Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content

Hy4 preview

Image understanding & OCR

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

Muse Spark 1.2 Contributor
Which Should You Choose?
Our recommendation:
Hy4 preview

Hy4 preview and Muse Spark 1.2 Contributor are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

Hy4 preview
Recommended

by Tencent

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • 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

by meta

  • Choose for Cost - 91% lower pricing; better value at scale
Capability Comparison
CapabilityHy4 previewMuse Spark 1.2 Contributor
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoning
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Hy4 preview

Tencent

$4.50
estimated monthly cost

Muse Spark 1.2 Contributor

meta

Best Value
$0.4200
estimated monthly cost

Muse Spark 1.2 Contributor saves you $4.08/month

That's 91% cheaper than Hy4 preview 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
ParameterHy4 previewMuse Spark 1.2 Contributor
Context Window1.0M1.0M
Max Output Tokens64,000943,718
Open SourceNoNo
CreatedAug 28, 2026Aug 21, 2026
Last updated: 43m ago

相关对比

Hy4 preview vs Muse Spark 1.2 Contributor (2026) | LM Market Cap