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Tongyi DeepResearch 30B A3B vs Qwen: Qwen3.5-35B-A3B

Head-to-head API cost, context, and performance comparison. Synced at 11:20:05 AM.

Executive Summary

When evaluating Tongyi DeepResearch 30B A3B against Qwen: Qwen3.5-35B-A3B, 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, Qwen: Qwen3.5-35B-A3B leads with a statistical ELO score of 1150. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-35B-A3B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Tongyi DeepResearch 30B A3B
Qwen: Qwen3.5-35B-A3B
Performance (ELO)
1150
1150
Input Cost / 1M
$0.09
$0.16
Output Cost / 1M
$0.45
$1.30
Context Window
131,072 tokens
262,144 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 Qwen: Qwen3.5-35B-A3B?

Yes. Tongyi DeepResearch 30B A3B is cheaper for both input and output generation compared to Qwen: Qwen3.5-35B-A3B. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.5-35B-A3B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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