Kimi K2 0905 vs Qwen2.5-Coder 32B Instruct Comparison

Comparing Kimi K2 0905 and Qwen2.5-Coder 32B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2 0905 outperforms in 4 benchmarks (HumanEval, MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 32B Instruct is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5-Coder 32B Instruct costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) is 6.7x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 27.8x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than Qwen2.5-Coder 32B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 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-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 0905 has 968.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 3025.0% larger.

Moonshot AI
Kimi K2 0905
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
1000.0B
Kimi K2 0905
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 14 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, 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 0905

Proprietary

Closed source

Qwen2.5-Coder 32B 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-Coder 32B Instruct was released on 2024-09-19.

Kimi K2 0905 is 12 months newer than Qwen2.5-Coder 32B Instruct.

Kimi K2 0905

Sep 5, 2025

6 months ago

11mo newer
Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.5 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

Provider Availability

Kimi K2 0905 is available from Novita. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks. The availability of providers can affect quality of the model and reliability.

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,144 tokens)
Higher HumanEval score (94.5% vs 92.7%)
Higher MATH score (89.1% vs 57.2%)
Higher MMLU score (90.2% vs 75.1%)
Higher MMLU-Pro score (82.5% vs 50.4%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct