Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 17.4% higher average benchmark score. GPT-4.1 mini offers 693.3K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. GPT-4.1 mini is $1.30 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
3 months newer

GPT-4.1 mini
OpenAI
2025-04-14

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)

GPT-4.1 mini

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 7 common benchmarks

GPT-4.1 mini

Qwen3-235B-A22B-Thinking-2507
GPT-4.1 mini
2024-05-31
Available providers and their performance metrics

GPT-4.1 mini
OpenAI
ZeroEval


GPT-4.1 mini

Qwen3-235B-A22B-Thinking-2507

GPT-4.1 mini

Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita