Qwen3 Next 80B A3B Instruct vs Qwen3 Next 80B A3B Thinking
Compare Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking, both from Qwen, in 15 community votes, qwen3 next 80b a3b thinking wins 56% of head-to-head duels, context windows of 66K vs 66K, tested across 54 shared challenges. Updated April 2026.
Which is better, Qwen3 Next 80B A3B Instruct or Qwen3 Next 80B A3B Thinking?
Qwen3 Next 80B A3B Thinking is the better choice overall, winning 56% of 15 blind community votes on Rival. Qwen3 Next 80B A3B Instruct costs $0.15/M input tokens vs $0.15/M for Qwen3 Next 80B A3B Thinking. Context windows: 66K vs 66K tokens. Compare their real outputs side by side below.
Key Differences Between Qwen3 Next 80B A3B Instruct and Qwen3 Next 80B A3B Thinking
Qwen3 Next 80B A3B Instruct is made by qwen while Qwen3 Next 80B A3B Thinking is from qwen. Qwen3 Next 80B A3B Instruct has a 66K token context window compared to Qwen3 Next 80B A3B Thinking's 66K. On pricing, Qwen3 Next 80B A3B Instruct costs $0.15/M input tokens vs $0.15/M for Qwen3 Next 80B A3B Thinking. In community voting, In 15 community votes, Qwen3 Next 80B A3B Thinking wins 56% of head-to-head duels.
In 15 community votes, Qwen3 Next 80B A3B Thinking wins 56% of head-to-head duels. Qwen3 Next 80B A3B Instruct leads in Image Generation, while Qwen3 Next 80B A3B Thinking leads in Web Design. Based on blind community voting from the Rival open dataset of 15+ human preference judgments for this pair.
Qwen3 Next 80B A3B Thinking has the edge overall. In 15 blind votes, Qwen3 Next 80B A3B Thinking wins 56% of the time.
Pick Qwen3 Next 80B A3B Instruct for Image Generation. Pick Qwen3 Next 80B A3B Thinking for Web Design.
Style Comparison
Qwen3 Next 80B A3B Thinking uses 1.9x more transitions
vsAsk them anything yourself
Some models write identically. You are paying for the brand.
178 models fingerprinted across 32 writing dimensions. Free research.
185x
price gap between models that write identically
178
models
12
clone pairs
32
dimensions
279 AI models invented the same fake scientist.
We read every word. 250 models. 2.14 million words. This is what we found.
