Qwen: Qwen3 Next 80B A3B Thinking vs Relace: Relace Apply 3
Head-to-head API cost, context, and performance comparison. Synced at 2:33:04 PM.
Executive Summary
When evaluating Qwen: Qwen3 Next 80B A3B Thinking against Relace: Relace Apply 3, the pricing structure is a key differentiator. Qwen: Qwen3 Next 80B A3B Thinking is approximately 58% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Relace: Relace Apply 3 leads with a statistical ELO score of 1423. For tasks involving complex logic, coding, or instruction-following, developers might prefer Relace: Relace Apply 3, provided their budget allows for the API burn rate.
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Raw Technical comparison
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 Next 80B A3B Thinking wins out aggressively in pricing.
People Also Ask
Is Qwen: Qwen3 Next 80B A3B Thinking cheaper than Relace: Relace Apply 3?
Yes. Qwen: Qwen3 Next 80B A3B Thinking is cheaper for both input and output generation compared to Relace: Relace Apply 3. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The Relace: Relace Apply 3 model has the advantage in memory, offering a massive 256,000 token limit for document ingestion.