Model Comparison

ERNIE 4.5 vs Phi 4 Reasoning

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

ERNIE 4.5 outperforms in 1 benchmarks (GPQA), while Phi 4 Reasoning is better at 2 benchmarks (HumanEval+, MMLU-Pro).

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

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Microsoft
Phi 4 Reasoning
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

7.0B diff

ERNIE 4.5 has 7.0B more parameters than Phi 4 Reasoning, making it 50.0% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
21.0B
ERNIE 4.5
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only ERNIE 4.5 specifies input context (128,000 tokens). Only ERNIE 4.5 specifies output context (65,536 tokens).

Baidu
ERNIE 4.5
Input128,000 tokens
Output65,536 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

ERNIE 4.5 is licensed under a proprietary license, while Phi 4 Reasoning uses MIT.

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

ERNIE 4.5

Proprietary

Closed source

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Phi 4 Reasoning was released on 2025-04-30.

ERNIE 4.5 is 2 months newer than Phi 4 Reasoning.

ERNIE 4.5

Jun 25, 2025

9 months ago

1mo newer
Phi 4 Reasoning

Apr 30, 2025

11 months ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while ERNIE 4.5's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without ERNIE 4.5's cutoff date.

ERNIE 4.5

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
Larger context window (128,000 tokens)
Higher GPQA score (74.0% vs 65.8%)
Microsoft
Has open weights
Higher HumanEval+ score (92.9% vs 25.0%)
Higher MMLU-Pro score (74.3% vs 16.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Microsoft
Phi 4 Reasoning

FAQ

Common questions about ERNIE 4.5 vs Phi 4 Reasoning

Phi 4 Reasoning shows notably better performance in the majority of benchmarks. ERNIE 4.5 is made by Baidu and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
ERNIE 4.5 scores GPQA: 74.0%, ARC-E: 60.7%, PIQA: 55.2%, Winogrande: 51.3%, CLUEWSC: 48.6%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.
ERNIE 4.5 supports 128K tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
ERNIE 4.5 is developed by Baidu and Phi 4 Reasoning is developed by Microsoft.