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Gemini 2.5 Flash vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 7.8% higher average benchmark score. Gemini 2.5 Flash offers 974.8K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $2.05 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
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Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.5 Flash
2025-05-20
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.30
Output:$2.50
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($2.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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Gemini 2.5 Flash
Average Score:32.4%
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Qwen2.5 72B Instruct
Average Score:40.1%(+7.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash
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 Flash
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:32.4%
Providers:2
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Qwen2.5 72B Instruct
Avg Score:40.1%(+7.8%)
Providers:4