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Tongyi DeepResearch 30B A3B vs MiniMax: MiniMax M2.5

Head-to-head API cost, context, and performance comparison. Synced at 11:19:52 AM.

Executive Summary

When evaluating Tongyi DeepResearch 30B A3B against MiniMax: MiniMax M2.5, the pricing structure is a key differentiator. Tongyi DeepResearch 30B A3B is approximately 63% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, MiniMax: MiniMax M2.5 leads with a statistical ELO score of 1150. For tasks involving complex logic, coding, or instruction-following, developers might prefer MiniMax: MiniMax M2.5, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Tongyi DeepResearch 30B A3B
MiniMax: MiniMax M2.5
Performance (ELO)
1150
1150
Input Cost / 1M
$0.09
$0.25
Output Cost / 1M
$0.45
$1.20
Context Window
131,072 tokens
196,608 tokens

Verdict

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

People Also Ask

Is Tongyi DeepResearch 30B A3B cheaper than MiniMax: MiniMax M2.5?

Yes. Tongyi DeepResearch 30B A3B is cheaper for both input and output generation compared to MiniMax: MiniMax M2.5. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The MiniMax: MiniMax M2.5 model has the advantage in memory, offering a massive 196,608 token limit for document ingestion.

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