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Hy-MT2-7B vs GLM Latest

Hy-MT2-7B

Tencent

40#288
vs
GLM Latest

~z-ai

40#287
Signal-by-Signal Comparison
SignalHy-MT2-7BDeltaGLM Latest
Capabilities
33
-33
67
Pricing
100
+12
88
Context window size
62
-33
96
Recency
100
--
100
Output Capacity
58
-24
82
Overall Result
1 wins
of 5
3 wins
GLM Latest wins 3 of 5 signals

Score History

Score History (8 data points)
Hy-MT2-7BGLM Latest
Hy-MT2-7B

40

current score

Leader

Tied

right now

GLM Latest

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

GLM Latest

~z-ai

Per request$0.006030
Daily$20.10
Monthly$603.00
Annual$7236.00

Hy-MT2-7B saves you $580.85/month

That's $6970.20/year compared to GLM Latest at your current usage level of 100K calls/month.

96% cheaper
Choose Hy-MT2-7B for cost optimization

Hy-MT2-7B pricing:
Input:$0.07/M tokens
Output:$0.29/M tokens
GLM Latest pricing:
Input:$0.03/M tokens
Output:$12.00/M tokens
Tie
Hy-MT2-7B

Tencent

40

Composite Score

Tie
GLM Latest

~z-ai

40

Composite Score

Signal-by-Signal Comparison
MetricHy-MT2-7BGLM LatestWinner
Overall Score
40
40
--
Rank#288#287
GLM Latest
Quality Rank#288#287
GLM Latest
Adoption Rank#288#287
GLM Latest
Parameters7B----
Context Window8K1049K
GLM Latest
Pricing$0.07/$0.29/M$0.03/$12.00/M--
Signal Scores
Capabilities
33
67
GLM Latest
Pricing
100
88
Hy-MT2-7B
Context window size
62
96
GLM Latest
Recency
100
100
Hy-MT2-7B
Output Capacity
58
82
GLM Latest
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 #288), placing it in the top 1% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
GLM LatestEntry Level

Scores 40/100 (rank #287), placing it in the top 1% 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 GLM Latest when you need:

  • Processing long documents or large codebases (1049K token context)
  • Agentic applications using tool/function calling
  • Step-by-step reasoning and chain-of-thought problem solving
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
GLM Latest
Input cost$0.03/M tokens
Output cost$12.00/M tokens
Cost per quality point$0.301
Est. monthly (1M tokens/day)$180.45

Hy-MT2-7B offers 97% better value per quality point. At 1M tokens/day, you'd spend $5.54/month with Hy-MT2-7B vs $180.45/month with GLM Latest - a $174.91 monthly difference.

Latency & Speed
Hy-MT2-7BFaster
Speed score0/100
GLM Latest
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 (1049K tokens) can process longer documents, contracts, and research papers in a single pass

GLM Latest

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
Which Should You Choose?
Our recommendation:
Hy-MT2-7B

Hy-MT2-7B and GLM Latest 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 - 97% 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 ~z-ai

Consider for specialized use cases.

Capability Comparison
CapabilityHy-MT2-7BGLM Latest
Vision (Image Input)
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

GLM Latest

~z-ai

$14.45
estimated monthly cost

Hy-MT2-7B saves you $13.97/month

That's 97% cheaper than GLM Latest 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-MT2-7BGLM Latest
Context Window8K1.0M
Max Output Tokens4,096131,072
Open SourceYesNo
CreatedAug 19, 2026Aug 19, 2026
Last updated: 40m ago

相关对比

Hy-MT2-7B vs GLM Latest (2026) | LM Market Cap