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Phi 4 vs Qwen2.5 14B Instruct

Phi 4 and Qwen2.5 14B Instruct are closely matched at 5.4 and 3.8 on the LLM Stats Score.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi 4 and Qwen2.5 14B Instruct are closely matched on the overall LLM Stats Score at 5.4 and 3.8.

In the 6 individual benchmarks reported for both models, Phi 4 wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Phi 4

  • you value its reported benchmark strengths — it wins 5 of 6 exact shared results
  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2.5 14B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
5.4
#296
3.8
#306
6.5
#287
3.3
#301
3.4
#217
3.9
#214
Cost, coverage & limits
Benchmark wins
5 of 6
1 of 6
Input price
$0.07 / M
— / M
Output price
$0.14 / M
— / M
Context window
16,384

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Phi 4
Qwen2.5 14B Instruct
12.8#230
10.6#250
12.9#137
5.0#172
12.9#120
5.7#154
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Phi 4 · 16 for Qwen2.5 14B Instruct

6 shared

Phi 4 outperforms in 5 benchmarks (GPQA, HumanEval+, MATH, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 1 benchmark (HumanEval).

Phi 4 significantly outperforms across most benchmarks.

Fri Sep 18 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

0.0M diff

Qwen2.5 14B Instruct has 0.0B more parameters than Phi 4, making it 0.0% larger.

Microsoft
Phi 4
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
14.7B
Phi 4
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,384 tokens). Only Phi 4 specifies output context (16,384 tokens).

Microsoft
Phi 4
Input16,384 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Fri Sep 18 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 is licensed under MIT, while Qwen2.5 14B 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 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Qwen2.5 14B Instruct was released on 2024-09-19.

Phi 4 is 3 months newer than Qwen2.5 14B Instruct.

Phi 4

Dec 12, 2024

1.8 years ago

2mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 14B 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 14B Instruct's cutoff date.

Phi 4

Jun 2024

Qwen2.5 14B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi 4 and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Phi 4
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about Phi 4 vs Qwen2.5 14B Instruct.

Which is better, Phi 4 or Qwen2.5 14B Instruct?

Phi 4 and Qwen2.5 14B Instruct are closely matched on the LLM Stats Score at 5.4 and 3.8. Phi 4 is made by Microsoft and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Phi 4 compare to Qwen2.5 14B Instruct in benchmarks?

Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for Phi 4 and Qwen2.5 14B Instruct?

Phi 4 supports 16K tokens and Qwen2.5 14B 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 4 and Qwen2.5 14B Instruct?

Key differences include LLM Stats Score (5.4 vs 3.8), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 and Qwen2.5 14B Instruct?

Phi 4 is developed by Microsoft and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.