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Gemini 2.0 Flash Thinking vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 63.7% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:9.3%
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Qwen3 235B A22B
Average Score:73.0%(+63.7%)
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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 235B A22B
4 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:9.3%
Providers:0
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Qwen3 235B A22B
Avg Score:73.0%(+63.7%)
Providers:4