Model Comparison

Kimi K2-Instruct-0905 vs Qwen2.5 72B Instruct

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

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Kimi K2-Instruct-0905 outperforms in 6 benchmarks (GPQA, IFEval, LiveBench, MMLU-Pro, MMLU-Redux, MultiPL-E), while Qwen2.5 72B Instruct is better at 1 benchmark (LiveCodeBench).

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

Tue Apr 21 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 21 2026 • llm-stats.com
Moonshot AI
Kimi K2-Instruct-0905
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

927.3B diff

Kimi K2-Instruct-0905 has 927.3B more parameters than Qwen2.5 72B Instruct, making it 1275.5% larger.

Moonshot AI
Kimi K2-Instruct-0905
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
1000.0B
Kimi K2-Instruct-0905
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2-Instruct-0905 is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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

Kimi K2-Instruct-0905

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Kimi K2-Instruct-0905 was released on 2025-09-05, while Qwen2.5 72B Instruct was released on 2024-09-19.

Kimi K2-Instruct-0905 is 12 months newer than Qwen2.5 72B Instruct.

Kimi K2-Instruct-0905

Sep 5, 2025

7 months ago

11mo newer
Qwen2.5 72B 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
Higher GPQA score (75.1% vs 49.0%)
Higher IFEval score (89.8% vs 84.1%)
Higher LiveBench score (76.4% vs 52.3%)
Higher MMLU-Pro score (81.1% vs 71.1%)
Higher MMLU-Redux score (92.7% vs 86.8%)
Higher MultiPL-E score (85.7% vs 75.1%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher LiveCodeBench score (55.5% vs 53.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2-Instruct-0905
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Kimi K2-Instruct-0905 vs Qwen2.5 72B Instruct

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. Kimi K2-Instruct-0905 is made by Moonshot AI and Qwen2.5 72B 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-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Kimi K2-Instruct-0905 supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Kimi K2-Instruct-0905 is developed by Moonshot AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.