Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 21.3% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 355.1K more tokens in context window than Phi 4. Phi 4 is $3.09 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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.
7 months newer

Phi 4
Microsoft
2024-12-12

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

Phi 4

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 3 common benchmarks

Phi 4

Qwen3-235B-A22B-Thinking-2507
Phi 4
2024-06-01
Available providers and their performance metrics

Phi 4
DeepInfra

Qwen3-235B-A22B-Thinking-2507

Phi 4

Qwen3-235B-A22B-Thinking-2507

Phi 4

Qwen3-235B-A22B-Thinking-2507
Novita