ERNIE 4.5 vs Kimi-k1.5 Comparison

Comparing ERNIE 4.5 and Kimi-k1.5 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while Kimi-k1.5 is better at 3 benchmarks (C-Eval, CLUEWSC, MMLU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Sat Mar 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
Sat Mar 14 2026 • llm-stats.com
Baidu
ERNIE 4.5
Input tokens$0.40
Output tokens$4.00
Best providerNovita
Moonshot AI
Kimi-k1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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
Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas ERNIE 4.5 does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 4.5

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

ERNIE 4.5

Proprietary

Closed source

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Kimi-k1.5 was released on 2025-01-20.

ERNIE 4.5 is 5 months newer than Kimi-k1.5.

ERNIE 4.5

Jun 25, 2025

8 months ago

5mo newer
Kimi-k1.5

Jan 20, 2025

1.1 years 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

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher C-Eval score (88.3% vs 40.7%)
Higher CLUEWSC score (91.4% vs 48.6%)
Higher MMLU score (87.4% vs 41.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Moonshot AI
Kimi-k1.5