Model Comparison

Kimi K2 Base vs Qwen2.5-Coder 32B Instruct

Kimi K2 Base significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2 Base outperforms in 4 benchmarks (GSM8k, MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

Kimi K2 Base significantly outperforms across most benchmarks.

Wed Apr 15 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 15 2026 • llm-stats.com
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
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Model Size

Parameter count comparison

968.0B diff

Kimi K2 Base has 968.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 3025.0% larger.

Moonshot AI
Kimi K2 Base
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
1000.0B
Kimi K2 Base
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Qwen2.5-Coder 32B Instruct uses Apache 2.0.

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

Kimi K2 Base

MIT

Open weights

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Kimi K2 Base is 10 months newer than Qwen2.5-Coder 32B Instruct.

Kimi K2 Base

Jul 11, 2025

9 months ago

9mo newer
Qwen2.5-Coder 32B 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 GSM8k score (92.1% vs 91.1%)
Higher MATH score (70.2% vs 57.2%)
Higher MMLU score (87.8% vs 75.1%)
Higher MMLU-Pro score (69.2% vs 50.4%)
Alibaba Cloud / Qwen Team
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 Base
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Kimi K2 Base vs Qwen2.5-Coder 32B Instruct

Kimi K2 Base significantly outperforms across most benchmarks. Kimi K2 Base is made by Moonshot AI and Qwen2.5-Coder 32B 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 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.
Kimi K2 Base supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Kimi K2 Base is developed by Moonshot AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.