Model Comparison

Phi-3.5-mini-instruct vs Qwen2.5-Coder 7B InstructWhich is better in 2026?

Phi-3.5-mini-instruct has a slight edge in benchmark performance.

Verdict: Phi-3.5-mini-instruct vs Qwen2.5-Coder 7B Instruct — which is better?

Phi-3.5-mini-instruct (by Microsoft) and Qwen2.5-Coder 7B 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-3.5-mini-instruct outperforms in 6 benchmarks (ARC-C, GSM8k, MATH, MMLU, MMLU-Pro, TruthfulQA), while Qwen2.5-Coder 7B Instruct is better at 4 benchmarks (HellaSwag, HumanEval, MBPP, Winogrande). Phi-3.5-mini-instruct has a slight edge in benchmark performance.

Choose Phi-3.5-mini-instruct if…

  • you want the strongest raw capability — it leads on 6 of 10 shared benchmarks

Choose Qwen2.5-Coder 7B Instruct if…

  • you want the most recent training data — it shipped Sep 2024
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Phi-3.5-mini-instruct outperforms in 6 benchmarks (ARC-C, GSM8k, MATH, MMLU, MMLU-Pro, TruthfulQA), while Qwen2.5-Coder 7B Instruct is better at 4 benchmarks (HellaSwag, HumanEval, MBPP, Winogrande).

Phi-3.5-mini-instruct has a slight edge in benchmark performance.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

3.2B diff

Qwen2.5-Coder 7B Instruct has 3.2B more parameters than Phi-3.5-mini-instruct, making it 84.2% larger.

Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
3.8B
Phi-3.5-mini-instruct
7.0B
Qwen2.5-Coder 7B Instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-mini-instruct is licensed under MIT, while Qwen2.5-Coder 7B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi-3.5-mini-instruct

MIT

Open weights

Qwen2.5-Coder 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-mini-instruct was released on 2024-08-23, while Qwen2.5-Coder 7B Instruct was released on 2024-09-19.

Qwen2.5-Coder 7B Instruct is 1 month newer than Phi-3.5-mini-instruct.

Phi-3.5-mini-instruct

Aug 23, 2024

1.8 years ago

Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.7 years ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Microsoft
Larger context window (128,000 tokens)
Higher ARC-C score (84.6% vs 60.9%)
Higher GSM8k score (86.2% vs 83.9%)
Higher MATH score (48.5% vs 46.6%)
Higher MMLU score (69.0% vs 67.6%)
Higher MMLU-Pro score (47.4% vs 40.1%)
Higher TruthfulQA score (64.0% vs 50.6%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher HellaSwag score (76.8% vs 69.4%)
Higher HumanEval score (88.4% vs 62.8%)
Higher MBPP score (83.5% vs 69.6%)
Higher Winogrande score (72.9% vs 68.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-3.5-mini-instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about Phi-3.5-mini-instruct vs Qwen2.5-Coder 7B Instruct.

Which is better, Phi-3.5-mini-instruct or Qwen2.5-Coder 7B Instruct?

Phi-3.5-mini-instruct has a slight edge in benchmark performance. Phi-3.5-mini-instruct is made by Microsoft and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-3.5-mini-instruct compare to Qwen2.5-Coder 7B Instruct in benchmarks?

Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.

What are the context window sizes for Phi-3.5-mini-instruct and Qwen2.5-Coder 7B Instruct?

Phi-3.5-mini-instruct supports 128K tokens and Qwen2.5-Coder 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-3.5-mini-instruct and Qwen2.5-Coder 7B Instruct?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-mini-instruct and Qwen2.5-Coder 7B Instruct?

Phi-3.5-mini-instruct is developed by Microsoft and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.

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