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Gemini 2.5 Flash-Lite vs Qwen3-Next-80B-A3B-Instruct
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Instruct leads with 31.7% higher average benchmark score. Gemini 2.5 Flash-Lite offers 983.0K more tokens in context window than Qwen3-Next-80B-A3B-Instruct. Gemini 2.5 Flash-Lite is $1.15 cheaper per million tokens. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.
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Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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
Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). 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.
2 months newer
Gemini 2.5 Flash-Lite
2025-06-17
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash-Lite
Input:$0.10
Output:$0.40($1.15 cheaper)
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Qwen3-Next-80B-A3B-Instruct
Input:$0.15
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:15.6%
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Qwen3-Next-80B-A3B-Instruct
Average Score:47.3%(+31.7%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Qwen3-Next-80B-A3B-Instruct
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Gemini 2.5 Flash-Lite
Avg Score:15.6%
Providers:1
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Qwen3-Next-80B-A3B-Instruct
Avg Score:47.3%(+31.7%)
Providers:1