Comprehensive side-by-side LLM comparison
Qwen3-Max leads with 19.0% higher average benchmark score. GPT-4.1 mini offers 762.4K more tokens in context window than Qwen3-Max. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, Qwen3-Max is the stronger choice for coding tasks.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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.
4 months newer

GPT-4.1 mini
OpenAI
2025-04-14
Qwen3-Max
Alibaba / Qwen
2025-09-05
Cost per million tokens (USD)
GPT-4.1 mini
Qwen3-Max
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1 mini
Qwen3-Max
Performance comparison across key benchmark categories
GPT-4.1 mini
Qwen3-Max
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
Qwen3-Max
GPT-4.1 mini
Qwen3-Max
GPT-4.1 mini
Qwen3-Max
OpenRouter