Comprehensive side-by-side LLM comparison
Gemini 3 Pro leads with 1.2% higher average benchmark score. Gemini 3 Pro is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3 Pro, released by Google in November 2025, is a large language model from the Gemini 3 family designed for complex reasoning, broad world knowledge, and multi-step problem solving. It features a 1M token context window, 64K maximum output tokens, and native multimodal input including text, images, audio, and video. Gemini 3 Pro targets research-grade reasoning, advanced data analysis, and applications requiring comprehensive understanding across diverse input formats.
Alibaba / Qwen
Qwen3.5-397B-A17B is a 397-billion-parameter mixture-of-experts model from Alibaba's Qwen team, released in February 2026 as the open-weight flagship of the Qwen3.5 series, featuring 17 billion active parameters per forward pass through a hybrid linear-attention and sparse-MoE architecture based on Gated Delta Networks. The model was co-trained on text, images, and video using early fusion, making it natively multimodal across a 262K token context window, while achieving significantly higher inference throughput than comparable dense models due to its sparse computation design. At release it was one of the most capable open-weight models publicly available, offered under Apache 2.0 and accessible through Alibaba's DashScope API as the Qwen3.5-Plus endpoint.
3 months newer

Gemini 3 Pro
Google DeepMind
2025-11-18
Qwen3.5-397B-A17B
Alibaba / Qwen
2026-02-16
Context window and performance specifications
Average performance across 2 common benchmarks
Gemini 3 Pro
Qwen3.5-397B-A17B
Performance comparison across key benchmark categories
Gemini 3 Pro
Qwen3.5-397B-A17B
Available providers and their performance metrics
Gemini 3 Pro
Google Cloud Vertex AI
Qwen3.5-397B-A17B
Gemini 3 Pro
Qwen3.5-397B-A17B
Gemini 3 Pro
Qwen3.5-397B-A17B