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Hy-MT2-7B vs Qwen3.8 27B (batch)

Hy-MT2-7B

Tencent

40#262
vs
Qwen3.8 27B (batch)

Alibaba

40#264
Signal-by-Signal Comparison
SignalHy-MT2-7BDeltaQwen3.8 27B (batch)
Capabilities
33
-50
83
Pricing
100
+2
98
Context window size
62
-24
86
Recency
100
--
100
Output Capacity
58
-28
86
Overall Result
1 wins
of 5
3 wins
Qwen3.8 27B (batch) wins 3 of 5 signals

Score History

Score History (12 data points)
Hy-MT2-7BQwen3.8 27B (batch)
Hy-MT2-7B

40

current score

Leader

Tied

right now

Qwen3.8 27B (batch)

40

current score

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

Hy-MT2-7B

Tencent

Best Value
Per request$0.000222
Daily$0.74
Monthly$22.15
Annual$265.80

Qwen3.8 27B (batch)

Alibaba

Per request$0.001160
Daily$3.87
Monthly$116.00
Annual$1392.00

Hy-MT2-7B saves you $93.85/month

That's $1126.20/year compared to Qwen3.8 27B (batch) at your current usage level of 100K calls/month.

81% cheaper
Choose Hy-MT2-7B for cost optimization

Hy-MT2-7B pricing:
Input:$0.07/M tokens
Output:$0.29/M tokens
Qwen3.8 27B (batch) pricing:
Input:$0.16/M tokens
Output:$2.00/M tokens
Tie
Hy-MT2-7B

Tencent

40

Composite Score

Tie
Qwen3.8 27B (batch)

Alibaba

40

Composite Score

Signal-by-Signal Comparison
MetricHy-MT2-7BQwen3.8 27B (batch)Winner
Overall Score
40
40
--
Rank#262#264
Hy-MT2-7B
Quality Rank#262#264
Hy-MT2-7B
Adoption Rank#262#264
Hy-MT2-7B
Parameters7B27B--
Context Window8K262K
Qwen3.8 27B (batch)
Pricing$0.07/$0.29/M$0.16/$2.00/M--
Signal Scores
Capabilities
33
83
Qwen3.8 27B (batch)
Pricing
100
98
Hy-MT2-7B
Context window size
62
86
Qwen3.8 27B (batch)
Recency
100
100
Hy-MT2-7B
Output Capacity
58
86
Qwen3.8 27B (batch)
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.

Hy-MT2-7BEntry Level

Scores 40/100 (rank #262), placing it in the top 10% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Qwen3.8 27B (batch)Entry Level

Scores 40/100 (rank #264), placing it in the top 9% 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 Hy-MT2-7B when you need:

  • High-volume production workloads where API costs must be minimized
  • Self-hosted deployments where you need full control over the model

Choose Qwen3.8 27B (batch) when you need:

  • Processing long documents or large codebases (262K token context)
  • Multimodal workflows that require image understanding
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
Hy-MT2-7BBest Value
Input cost$0.07/M tokens
Output cost$0.29/M tokens
Cost per quality point$0.009
Est. monthly (1M tokens/day)$5.54
Qwen3.8 27B (batch)
Input cost$0.16/M tokens
Output cost$2.00/M tokens
Cost per quality point$0.054
Est. monthly (1M tokens/day)$32.40

Hy-MT2-7B offers 83% better value per quality point. At 1M tokens/day, you'd spend $5.54/month with Hy-MT2-7B vs $32.40/month with Qwen3.8 27B (batch) - a $26.86 monthly difference.

Latency & Speed
Hy-MT2-7BFaster
Speed score0/100
Qwen3.8 27B (batch)
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

Hy-MT2-7B

Customer support chatbot

Suitable for user-facing chat with competitive response times. Hy-MT2-7B also offers lower per-token costs for high-volume support

Hy-MT2-7B

Long document analysis

Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass

Qwen3.8 27B (batch)

Batch data extraction

Lower output pricing ($0.29/M) reduces costs when processing thousands of records daily

Hy-MT2-7B

Creative writing & content

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

Hy-MT2-7B

Image understanding & OCR

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

Qwen3.8 27B (batch)
Which Should You Choose?
Our recommendation:
Hy-MT2-7B

Hy-MT2-7B and Qwen3.8 27B (batch) 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.

Hy-MT2-7B
Recommended

by Tencent

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 83% 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 Alibaba

Consider for specialized use cases.

Capability Comparison
CapabilityHy-MT2-7BQwen3.8 27B (batch)
Vision (Image Input)differs
Function Callingdiffers
Streaming
JSON Mode
Reasoningdiffers
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Hy-MT2-7B

Tencent

Best Value
$0.4872
estimated monthly cost

Qwen3.8 27B (batch)

Alibaba

$2.69
estimated monthly cost

Hy-MT2-7B saves you $2.20/month

That's 82% cheaper than Qwen3.8 27B (batch) 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
ParameterHy-MT2-7BQwen3.8 27B (batch)
Context Window8K262K
Max Output Tokens4,096235,929
Open SourceYesYes
CreatedAug 19, 2026Aug 14, 2026
Last updated: 58m ago

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