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Qwen: Qwen3.5-35B-A3B vs Qwen: Qwen3.7 Max

Head-to-head API cost, context, and performance comparison. Synced at 4:23:50 PM.

Executive Summary

When evaluating Qwen: Qwen3.5-35B-A3B against Qwen: Qwen3.7 Max, the pricing structure is a key differentiator. Qwen: Qwen3.5-35B-A3B is approximately 77% 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 1434. 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
Qwen: Qwen3.5-35B-A3B
Qwen: Qwen3.7 Max
Performance (ELO)
1434
1433
Input Cost / 1M
$0.14
$1.25
Output Cost / 1M
$1.00
$3.75
Context Window
262,144 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, Qwen: Qwen3.5-35B-A3B is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3.5-35B-A3B wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3.5-35B-A3B cheaper than Qwen: Qwen3.7 Max?

Yes. Qwen: Qwen3.5-35B-A3B is cheaper for both input and output generation compared to Qwen: Qwen3.7 Max. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.7 Max model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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