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Gemini 3.7 Flash vs Hy4 preview

Gemini 3.7 Flash

Google

40#214
vs
Hy4 preview

Tencent

40#204
Signal-by-Signal Comparison
SignalGemini 3.7 FlashDeltaHy4 preview
Capabilities
100
+33
67
Pricing
98
+1
98
Context window size
96
--
96
Recency
100
--
100
Output Capacity
77
+0
77
Overall Result
3 wins
of 5
0 wins
Gemini 3.7 Flash wins 3 of 5 signals

Score History

Score History (3 data points)
Gemini 3.7 FlashHy4 preview
Gemini 3.7 Flash

40

current score

Leader

Tied

right now

Hy4 preview

40

current score

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

Gemini 3.7 Flash

Google

Best Value
Per request$0.001312
Daily$4.38
Monthly$131.25
Annual$1575.00

Hy4 preview

Tencent

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

Gemini 3.7 Flash saves you $77.20/month

That's $926.40/year compared to Hy4 preview at your current usage level of 100K calls/month.

37% cheaper
Choose Gemini 3.7 Flash for cost optimization

Gemini 3.7 Flash pricing:
Input:$0.38/M tokens
Output:$1.88/M tokens
Hy4 preview pricing:
Input:$0.83/M tokens
Output:$2.50/M tokens
Tie
Gemini 3.7 Flash

Google

40

Composite Score

Tie
Hy4 preview

Tencent

40

Composite Score

Signal-by-Signal Comparison
MetricGemini 3.7 FlashHy4 previewWinner
Overall Score
40
40
--
Rank#214#204
Hy4 preview
Quality Rank#214#204
Hy4 preview
Adoption Rank#214#204
Hy4 preview
Parameters------
Context Window1049K1049K--
Pricing$0.38/$1.88/M$0.83/$2.50/M--
Signal Scores
Capabilities
100
67
Gemini 3.7 Flash
Pricing
98
98
Gemini 3.7 Flash
Context window size
96
96
Gemini 3.7 Flash
Recency
100
100
Gemini 3.7 Flash
Output Capacity
77
77
Gemini 3.7 Flash
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.

Gemini 3.7 FlashEntry Level

Scores 40/100 (rank #214), placing it in the top 27% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
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

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 Gemini 3.7 Flash when you need:

  • Multimodal workflows that require image understanding
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Hy4 preview when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Gemini 3.7 FlashBest Value
Input cost$0.38/M tokens
Output cost$1.88/M tokens
Cost per quality point$0.056
Est. monthly (1M tokens/day)$33.75
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

Gemini 3.7 Flash offers 33% better value per quality point. At 1M tokens/day, you'd spend $33.75/month with Gemini 3.7 Flash vs $50.02/month with Hy4 preview - a $16.27 monthly difference.

Latency & Speed
Gemini 3.7 FlashFaster
Speed score0/100
Hy4 preview
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

Gemini 3.7 Flash

Customer support chatbot

Suitable for user-facing chat with competitive response times. Gemini 3.7 Flash also offers lower per-token costs for high-volume support

Gemini 3.7 Flash

Long document analysis

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

Gemini 3.7 Flash

Batch data extraction

Lower output pricing ($1.88/M) reduces costs when processing thousands of records daily

Gemini 3.7 Flash

Creative writing & content

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

Gemini 3.7 Flash

Image understanding & OCR

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

Gemini 3.7 Flash
Which Should You Choose?
Our recommendation:
Gemini 3.7 Flash

Gemini 3.7 Flash and Hy4 preview 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.

Gemini 3.7 Flash
Recommended

by Google

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 33% 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

by Tencent

Consider for specialized use cases.

Capability Comparison
CapabilityGemini 3.7 FlashHy4 preview
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)

Gemini 3.7 Flash

Google

Best Value
$2.92
estimated monthly cost

Hy4 preview

Tencent

$4.50
estimated monthly cost

Gemini 3.7 Flash saves you $1.58/month

That's 35% 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
ParameterGemini 3.7 FlashHy4 preview
Context Window1.0M1.0M
Max Output Tokens65,53664,000
Open SourceNoNo
CreatedAug 13, 2026Aug 28, 2026
Last updated: 56m ago

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