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Qwen: Qwen3.5-122B-A10B vs Relace: Relace Search

Head-to-head API cost, context, and performance comparison. Synced at 5:04:07 PM.

Executive Summary

When evaluating Qwen: Qwen3.5-122B-A10B against Relace: Relace Search, the pricing structure is a key differentiator. Qwen: Qwen3.5-122B-A10B is approximately 42% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Relace: Relace Search leads with a statistical ELO score of 1442. For tasks involving complex logic, coding, or instruction-following, developers might prefer Relace: Relace Search, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Qwen: Qwen3.5-122B-A10B
Relace: Relace Search
Performance (ELO)
1442
1442
Input Cost / 1M
$0.26
$1.00
Output Cost / 1M
$2.08
$3.00
Context Window
262,144 tokens
256,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3.5-122B-A10B wins out aggressively in pricing.

People Also Ask

Is Qwen: Qwen3.5-122B-A10B cheaper than Relace: Relace Search?

Yes. Qwen: Qwen3.5-122B-A10B is cheaper for both input and output generation compared to Relace: Relace Search. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.5-122B-A10B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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