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Tencent: Hy-MT2-30B-A3B vs DeepSeek: DeepSeek V3.1 Terminus

Head-to-head API cost, context, and performance comparison. Synced at 1:35:51 PM.

Executive Summary

When evaluating Tencent: Hy-MT2-30B-A3B against DeepSeek: DeepSeek V3.1 Terminus, the pricing structure is a key differentiator. Tencent: Hy-MT2-30B-A3B is approximately 72% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, DeepSeek: DeepSeek V3.1 Terminus leads with a statistical ELO score of 1441. For tasks involving complex logic, coding, or instruction-following, developers might prefer DeepSeek: DeepSeek V3.1 Terminus, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Tencent: Hy-MT2-30B-A3B
DeepSeek: DeepSeek V3.1 Terminus
Performance (ELO)
1441
1441
Input Cost / 1M
$0.07
$0.30
Output Cost / 1M
$0.29
$1.00
Context Window
8,192 tokens
163,840 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Tencent: Hy-MT2-30B-A3B wins out aggressively in pricing.

People Also Ask

Is Tencent: Hy-MT2-30B-A3B cheaper than DeepSeek: DeepSeek V3.1 Terminus?

Yes. Tencent: Hy-MT2-30B-A3B is cheaper for both input and output generation compared to DeepSeek: DeepSeek V3.1 Terminus. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The DeepSeek: DeepSeek V3.1 Terminus model has the advantage in memory, offering a massive 163,840 token limit for document ingestion.

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