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Hy4 preview vs Ling 3.0 Flash Fin

Hy4 preview

Tencent

40#236
vs
Ling 3.0 Flash Fin

inclusionai

40#237
Signal-by-Signal Comparison
SignalHy4 previewDeltaLing 3.0 Flash Fin
Capabilities
67
--
67
Pricing
98
-2
100
Context window size
96
+10
86
Recency
100
--
100
Output Capacity
77
-9
86
Overall Result
1 wins
of 5
2 wins
Ling 3.0 Flash Fin wins 2 of 5 signals

Score History

Score History (2 data points)
Hy4 previewLing 3.0 Flash Fin
Hy4 preview

40

current score

Leader

Tied

right now

Ling 3.0 Flash Fin

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

Ling 3.0 Flash Fin

inclusionai

Best Value
Per request$0.000150
Daily$0.50
Monthly$15.00
Annual$180.00

Ling 3.0 Flash Fin saves you $193.45/month

That's $2321.40/year compared to Hy4 preview at your current usage level of 100K calls/month.

93% cheaper
Choose Ling 3.0 Flash Fin for cost optimization

Hy4 preview pricing:
Input:$0.83/M tokens
Output:$2.50/M tokens
Ling 3.0 Flash Fin pricing:
Input:$0.06/M tokens
Output:$0.18/M tokens
Tie
Hy4 preview

Tencent

40

Composite Score

Tie
Ling 3.0 Flash Fin

inclusionai

40

Composite Score

Signal-by-Signal Comparison
MetricHy4 previewLing 3.0 Flash FinWinner
Overall Score
40
40
--
Rank#236#237
Hy4 preview
Quality Rank#236#237
Hy4 preview
Adoption Rank#236#237
Hy4 preview
Parameters------
Context Window1049K262K
Hy4 preview
Pricing$0.83/$2.50/M$0.06/$0.18/M--
Signal Scores
Capabilities
67
67
Hy4 preview
Pricing
98
100
Ling 3.0 Flash Fin
Context window size
96
86
Hy4 preview
Recency
100
100
Hy4 preview
Output Capacity
77
86
Ling 3.0 Flash Fin
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 #236), placing it in the top 19% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Ling 3.0 Flash FinEntry Level

Scores 40/100 (rank #237), placing it in the top 19% 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:

  • Processing long documents or large codebases (1049K token context)
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Ling 3.0 Flash Fin when you need:

  • High-volume production workloads where API costs must be minimized
  • 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
Ling 3.0 Flash FinBest Value
Input cost$0.06/M tokens
Output cost$0.18/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$3.60

Ling 3.0 Flash Fin offers 93% better value per quality point. At 1M tokens/day, you'd spend $3.60/month with Ling 3.0 Flash Fin vs $50.02/month with Hy4 preview - a $46.42 monthly difference.

Latency & Speed
Hy4 previewFaster
Speed score0/100
Ling 3.0 Flash Fin
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. Ling 3.0 Flash Fin 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 ($0.18/M) reduces costs when processing thousands of records daily

Ling 3.0 Flash Fin

Creative writing & content

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

Hy4 preview
Which Should You Choose?
Our recommendation:
Hy4 preview

Hy4 preview and Ling 3.0 Flash Fin 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 inclusionai

  • Choose for Cost - 93% lower pricing; better value at scale
Capability Comparison
CapabilityHy4 previewLing 3.0 Flash Fin
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Hy4 preview

Tencent

$4.50
estimated monthly cost

Ling 3.0 Flash Fin

inclusionai

Best Value
$0.3240
estimated monthly cost

Ling 3.0 Flash Fin saves you $4.18/month

That's 93% 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 previewLing 3.0 Flash Fin
Context Window1.0M262K
Max Output Tokens64,000235,929
Open SourceNoNo
CreatedAug 28, 2026Aug 27, 2026
Last updated: 44m ago

相关对比

Hy4 preview vs Ling 3.0 Flash Fin (2026) | LM Market Cap