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Gemini 2.5 Pro vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 12.1% higher average benchmark score. Gemini 2.5 Pro offers 983.0K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Qwen3-Next-80B-A3B-Thinking is $9.60 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). 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
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Gemini 2.5 Pro
2025-05-20
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
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-Next-80B-A3B-Thinking
Input:$0.15
Output:$1.50($9.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Gemini 2.5 Pro
Average Score:30.1%
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Qwen3-Next-80B-A3B-Thinking
Average Score:42.2%(+12.1%)
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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:30.1%
Providers:2
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Qwen3-Next-80B-A3B-Thinking
Avg Score:42.2%(+12.1%)
Providers:1