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Gemini 2.5 Pro Preview 06-05 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.5 Pro Preview 06-05 offers 974.8K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $10.65 cheaper per million tokens. Gemini 2.5 Pro Preview 06-05 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemini 2.5 Pro Preview 06-05
2025-06-05
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro Preview 06-05
Input:$1.25
Output:$10.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($10.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemini 2.5 Pro Preview 06-05
Average Score:35.8%
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Qwen2.5 7B Instruct
Average Score:36.7%(+0.9%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro Preview 06-05
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 Preview 06-05
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5 7B Instruct
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Gemini 2.5 Pro Preview 06-05
Avg Score:35.8%
Providers:1
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Qwen2.5 7B Instruct
Avg Score:36.7%(+0.9%)
Providers:1