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Gemini 2.0 Flash Thinking vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 8.1% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Qwen3 32B is available on 3 providers. Overall, Qwen3 32B is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:73.3%
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Qwen3 32B
Average Score:81.4%(+8.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:73.3%
Providers:0
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Qwen3 32B
Avg Score:81.4%(+8.1%)
Providers:3