Model Comparison

ERNIE 5.0 vs Kimi K2 Instruct

ERNIE 5.0 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

ERNIE 5.0 significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Baidu
ERNIE 5.0
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
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Context Window

Maximum input and output token capacity

Only Kimi K2 Instruct specifies input context (200,000 tokens). Only Kimi K2 Instruct specifies output context (200,000 tokens).

Baidu
ERNIE 5.0
Input- tokens
Output- tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

ERNIE 5.0 supports multimodal inputs, whereas Kimi K2 Instruct does not.

ERNIE 5.0 can handle both text and other forms of data like images, making it suitable for multimodal applications.

ERNIE 5.0

Text
Images
Audio
Video

Kimi K2 Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

ERNIE 5.0

Proprietary

Closed source

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

ERNIE 5.0 was released on 2025-01-22, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 6 months newer than ERNIE 5.0.

ERNIE 5.0

Jan 22, 2025

1.2 years ago

Kimi K2 Instruct

Jul 11, 2025

9 months ago

5mo newer

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

Baidu
Supports multimodal inputs
Higher AIME 2025 score (87.0% vs 49.5%)
Higher GPQA score (85.0% vs 75.1%)
Higher Humanity's Last Exam score (39.0% vs 4.7%)
Higher MMLU-Pro score (87.0% vs 81.1%)
Higher SimpleQA score (75.0% vs 31.0%)
Moonshot AI
Larger context window (200,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 5.0
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about ERNIE 5.0 vs Kimi K2 Instruct

ERNIE 5.0 significantly outperforms across most benchmarks. ERNIE 5.0 is made by Baidu and Kimi K2 Instruct is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.
ERNIE 5.0 supports an unknown number of tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
ERNIE 5.0 is developed by Baidu and Kimi K2 Instruct is developed by Moonshot AI.