Model Comparison

Kimi K2 0905 vs Qwen2.5 14B Instruct

Kimi K2 0905 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Kimi K2 0905 outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Wed Apr 29 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
Wed Apr 29 2026 • llm-stats.com
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

985.3B diff

Kimi K2 0905 has 985.3B more parameters than Qwen2.5 14B Instruct, making it 6702.7% larger.

Moonshot AI
Kimi K2 0905
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
1000.0B
Kimi K2 0905
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Wed Apr 29 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.

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

Kimi K2 0905

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Qwen2.5 14B Instruct was released on 2024-09-19.

Kimi K2 0905 is 12 months newer than Qwen2.5 14B Instruct.

Kimi K2 0905

Sep 5, 2025

7 months ago

11mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.6 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

Moonshot AI
Larger context window (262,144 tokens)
Higher GPQA score (75.8% vs 45.5%)
Higher HumanEval score (94.5% vs 83.5%)
Higher MATH score (89.1% vs 80.0%)
Higher MMLU score (90.2% vs 79.7%)
Higher MMLU-Pro score (82.5% vs 63.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Kimi K2 0905 vs Qwen2.5 14B Instruct

Kimi K2 0905 significantly outperforms across most benchmarks. Kimi K2 0905 is made by Moonshot AI and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Kimi K2 0905 supports 262K tokens and Qwen2.5 14B Instruct 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 Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Kimi K2 0905 is developed by Moonshot AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.