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Gemini 2.5 Pro vs Qwen3-Max
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro offers 737.9K more tokens in context window than Qwen3-Max. Qwen3-Max is $9.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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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.
3 months newer
Gemini 2.5 Pro
Google DeepMind
2025-05-20
Qwen3-Max
Alibaba / Qwen
2025-09-05
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-Max
Input:$0.50
Output:$1.50($9.25 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Pro
2 providers
Google Cloud Vertex AI
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Qwen3-Max
1 providers
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Gemini 2.5 Pro
Avg Score:0.0%
Providers:2
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Qwen3-Max
Avg Score:0.0%
Providers:1