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Gemini 2.5 Pro vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 14.4% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $11.05 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
21 days newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($11.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 2.5 Pro
Average Score:86.0%(+14.4%)
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Qwen3 235B A22B
Average Score:71.6%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
2025-01-31
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 2.5 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:86.0%(+14.4%)
Providers:2
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Qwen3 235B A22B
Avg Score:71.6%
Providers:4