Model Comparison

Kimi K2.5 vs ERNIE 5.0

Kimi K2.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2.5 outperforms in 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, MMLU-Pro), while ERNIE 5.0 is better at 0 benchmarks.

Kimi K2.5 significantly outperforms across most benchmarks.

Sat Apr 18 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
Sat Apr 18 2026 • llm-stats.com
Moonshot AI
Kimi K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Kimi K2.5 specifies input context (262,100 tokens). Only Kimi K2.5 specifies output context (262,100 tokens).

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.5 and ERNIE 5.0 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi K2.5

Text
Images
Audio
Video

ERNIE 5.0

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while ERNIE 5.0 uses a proprietary license.

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

Kimi K2.5

MIT

Open weights

ERNIE 5.0

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while ERNIE 5.0 was released on 2026-01-22.

Kimi K2.5 is 0 month newer than ERNIE 5.0.

Kimi K2.5

Jan 27, 2026

2 months ago

5d newer
ERNIE 5.0

Jan 22, 2026

2 months ago

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

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Key Takeaways

Moonshot AI
Larger context window (262,100 tokens)
Has open weights
Higher AIME 2025 score (96.1% vs 87.0%)
Higher GPQA score (87.6% vs 85.0%)
Higher Humanity's Last Exam score (50.2% vs 39.0%)
Higher MMLU-Pro score (87.1% vs 87.0%)
Baidu

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.5
Baidu
ERNIE 5.0

FAQ

Common questions about Kimi K2.5 vs ERNIE 5.0

Kimi K2.5 significantly outperforms across most benchmarks. Kimi K2.5 is made by Moonshot AI and ERNIE 5.0 is made by Baidu. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. ERNIE 5.0 scores AIME 2025: 87.0%, MMLU-Pro: 87.0%, GPQA: 85.0%, SimpleQA: 75.0%, Humanity's Last Exam: 39.0%.
Kimi K2.5 supports 262K tokens and ERNIE 5.0 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 (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2.5 is developed by Moonshot AI and ERNIE 5.0 is developed by Baidu.