+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 2.5 Flash-Lite vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. 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-Base
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
+
+
+
+
Gemini 2.5 Flash-Lite
Average Score:40.8%(+40.8%)
+
+
+
+
Qwen3-Next-80B-A3B-Base
Average Score:0.0%
+
+
+
+
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
+
+
+
+
Gemini 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
+
+
+
+
Qwen3-Next-80B-A3B-Base
+
+
+
+
Gemini 2.5 Flash-Lite
Avg Score:40.8%(+40.8%)
Providers:1
+
+
+
+
Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0