Comprehensive side-by-side LLM comparison
Gemini 3.1 Pro offers 843.8K more tokens in context window than Qwen3-Max. Qwen3-Max is $12.00 cheaper per million tokens. Gemini 3.1 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 3.1 Pro is a multimodal language model from Google DeepMind, released in preview in February 2026 as a point-version upgrade to Gemini 3 Pro focused on improving reasoning depth, factual grounding, and coding and agentic task performance. The model accepts text, images, video, audio, and PDFs as inputs across a 1M token context window, extending the multimodal breadth of the Gemini 3 series with a companion endpoint specifically optimized for custom tool use in agentic pipelines. Google describes it as built to refine the reliability and performance of the Gemini 3 Pro series, reflecting an incremental engineering iteration rather than an architectural overhaul.
Alibaba / Qwen
Qwen3-Max, released by Alibaba in September 2025 as an API preview, is a large language model exceeding one trillion parameters built for complex reasoning and long-context tasks. It features a 262K token context window, hybrid thinking modes that allow switching between direct generation and extended chain-of-thought, and is available as a proprietary cloud API via Alibaba Cloud and Qwen Chat. Qwen3-Max targets demanding reasoning, multilingual analysis, and applications requiring frontier-level performance from the Qwen3 generation.
5 months newer
Qwen3-Max
Alibaba / Qwen
2025-09-05

Gemini 3.1 Pro
Google DeepMind
2026-02-19
Cost per million tokens (USD)
Gemini 3.1 Pro
Qwen3-Max
Context window and performance specifications
Gemini 3.1 Pro
2025-01
Available providers and their performance metrics
Gemini 3.1 Pro
Qwen3-Max
Gemini 3.1 Pro
Qwen3-Max
Gemini 3.1 Pro
Qwen3-Max
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