Model Comparison
Phi 4 vs Qwen2.5-Coder 32B InstructWhich is better in 2026?
Phi 4 shows notably better performance in the majority of benchmarks. Phi 4 is 1.0x cheaper per token.
Verdict: Phi 4 vs Qwen2.5-Coder 32B Instruct — which is better?
Phi 4 (by Microsoft) and Qwen2.5-Coder 32B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Phi 4 outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval). Phi 4 shows notably better performance in the majority of benchmarks.
Qwen2.5-Coder 32B Instruct also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Phi 4 if…
- you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
- you want the most recent training data — it shipped Dec 2024
Choose Qwen2.5-Coder 32B Instruct if…
- you process long inputs — it offers a 128,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Phi 4 outperforms in 3 benchmarks (MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval).
Phi 4 shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Phi 4 ($0.07/1M tokens) is 1.3x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, Phi 4 ($0.14/1M tokens) is 1.6x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, Qwen2.5-Coder 32B Instruct is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 17.3B more parameters than Phi 4, making it 117.7% larger.
Context Window
Maximum input and output token capacity
Qwen2.5-Coder 32B Instruct accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. Qwen2.5-Coder 32B Instruct can generate longer responses up to 128,000 tokens, while Phi 4 is limited to 16,000 tokens.
License
Usage and distribution terms
Phi 4 is licensed under MIT, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi 4 was released on 2024-12-12, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Phi 4 is 3 months newer than Qwen2.5-Coder 32B Instruct.
Dec 12, 2024
1.6 years ago
2mo newerSep 19, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Phi 4 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5-Coder 32B Instruct's cutoff date is not specified.
We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen2.5-Coder 32B Instruct's cutoff date.
Jun 2024
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Provider Availability
Phi 4 is available from DeepInfra. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
Phi 4
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Qwen2.5-Coder 32B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Phi 4 and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Phi 4 vs Qwen2.5-Coder 32B Instruct.