Model Comparison

ERNIE 4.5 vs Kimi K2-Instruct-0905

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

ERNIE 4.5 outperforms in 0 benchmarks, while Kimi K2-Instruct-0905 is better at 5 benchmarks (GPQA, MMLU, MMLU-Pro, MMLU-Redux, SimpleQA).

Kimi K2-Instruct-0905 significantly outperforms across most 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
Moonshot AI
Kimi K2-Instruct-0905
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

979.0B diff

Kimi K2-Instruct-0905 has 979.0B more parameters than ERNIE 4.5, making it 4661.9% larger.

Baidu
ERNIE 4.5
21.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1000.0Bparameters
21.0B
ERNIE 4.5
1000.0B
Kimi K2-Instruct-0905

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 K2-Instruct-0905
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 Kimi K2-Instruct-0905 uses MIT.

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

ERNIE 4.5

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

ERNIE 4.5 was released on 2025-06-25, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 2 months newer than ERNIE 4.5.

ERNIE 4.5

Jun 25, 2025

9 months ago

Kimi K2-Instruct-0905

Sep 5, 2025

7 months ago

2mo 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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Baidu
Larger context window (128,000 tokens)
Moonshot AI
Has open weights
Higher GPQA score (75.1% vs 74.0%)
Higher MMLU score (89.5% vs 41.9%)
Higher MMLU-Pro score (81.1% vs 16.0%)
Higher MMLU-Redux score (92.7% vs 43.2%)
Higher SimpleQA score (31.0% vs 1.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Baidu
ERNIE 4.5
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about ERNIE 4.5 vs Kimi K2-Instruct-0905

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. ERNIE 4.5 is made by Baidu and Kimi K2-Instruct-0905 is made by Moonshot AI. 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%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.
ERNIE 4.5 supports 128K tokens and Kimi K2-Instruct-0905 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 Kimi K2-Instruct-0905 is developed by Moonshot AI.