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Gemini 1.0 Pro vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 49.6% higher average benchmark score. Qwen3-235B-A22B-Instruct-2507 offers 106.5K more tokens in context window than Gemini 1.0 Pro. Qwen3-235B-A22B-Instruct-2507 is $1.05 cheaper per million tokens. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Alibaba Cloud / Qwen Team
Qwen3 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
1 year newer
Gemini 1.0 Pro
2024-02-15
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80($1.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.0 Pro
Average Score:27.9%
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Qwen3-235B-A22B-Instruct-2507
Average Score:77.5%(+49.6%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Qwen3-235B-A22B-Instruct-2507
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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Qwen3-235B-A22B-Instruct-2507
Avg Score:77.5%(+49.6%)
Providers:1