Model Comparison

Phi 4 vs Qwen2.5 7B Instruct

Phi 4 shows notably better performance in the majority of benchmarks. Phi 4 is 3.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Phi 4 outperforms in 5 benchmarks (Arena Hard, GPQA, LiveBench, MATH, MMLU-Pro), while Qwen2.5 7B Instruct is better at 2 benchmarks (HumanEval, IFEval).

Phi 4 shows notably better performance in the majority of benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Phi 4 ($0.07/1M tokens) is 4.3x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Phi 4 ($0.14/1M tokens) is 2.1x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

Phi 4

Input tokens$0.07

Output tokens$0.14

Best providerDeepinfra

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

7.1B diff

Phi 4 has 7.1B more parameters than Qwen2.5 7B Instruct, making it 93.2% larger.

Phi 4

14.7Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

14.7B

Phi 4

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Phi 4

Input16,000 tokens

Output16,000 tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 is licensed under MIT, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Phi 4

MIT

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Qwen2.5 7B Instruct was released on 2024-09-19.

Phi 4 is 3 months newer than Qwen2.5 7B Instruct.

Phi 4

Dec 12, 2024

1.5 years ago

2mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 7B 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 7B Instruct's cutoff date.

Phi 4

Jun 2024

Qwen2.5 7B Instruct

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Provider Availability

Phi 4 is available from DeepInfra. Qwen2.5 7B Instruct is available from Together.

Phi 4

Deepinfra

Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M

Qwen2.5 7B Instruct

Together

Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Phi 4

View details

Microsoft

Less expensive input tokens

Less expensive output tokens

Higher Arena Hard score (75.4% vs 52.0%)

Higher GPQA score (56.1% vs 36.4%)

Higher LiveBench score (47.6% vs 35.9%)

Higher MATH score (80.4% vs 75.5%)

Higher MMLU-Pro score (70.4% vs 56.3%)

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher HumanEval score (84.8% vs 82.6%)

Higher IFEval score (71.2% vs 63.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi 4	Qwen2.5 7B Instruct

FAQ

Common questions about Phi 4 vs Qwen2.5 7B Instruct.

Which is better, Phi 4 or Qwen2.5 7B Instruct?

Phi 4 shows notably better performance in the majority of benchmarks. Phi 4 is made by Microsoft and Qwen2.5 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 4 compare to Qwen2.5 7B Instruct in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Is Phi 4 cheaper than Qwen2.5 7B Instruct?

Phi 4 is 4.3x cheaper for input tokens. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.

What are the context window sizes for Phi 4 and Qwen2.5 7B Instruct?

Phi 4 supports 16K tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi 4 and Qwen2.5 7B Instruct?

Key differences include context window (16K vs 131K), input pricing ($0.07 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 and Qwen2.5 7B Instruct?

Phi 4 is developed by Microsoft and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.