Model Comparison

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

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is 2.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2-Thinking-0905 outperforms in 3 benchmarks (GPQA, MMLU-Pro, MMLU-Redux), while Qwen2.5 72B Instruct is better at 0 benchmarks.

Kimi K2-Thinking-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

Qwen2.5 72B Instruct costs less

For input processing, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 1.3x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 5.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than Qwen2.5 72B Instruct.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

927.3B diff

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

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

Context Window

Maximum input and output token capacity

Kimi K2-Thinking-0905 accepts 262,144 input tokens compared to Qwen2.5 72B Instruct's 131,072 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Qwen2.5 72B Instruct is limited to 8,192 tokens.

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2-Thinking-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-Thinking-0905

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

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

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

Kimi K2-Thinking-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

Provider Availability

Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,144 tokens)
Higher GPQA score (84.5% vs 49.0%)
Higher MMLU-Pro score (84.6% vs 71.1%)
Higher MMLU-Redux score (94.4% vs 86.8%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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

FAQ

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

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Kimi K2-Thinking-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-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Qwen2.5 72B Instruct is 1.3x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
Kimi K2-Thinking-0905 supports 262K 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 context window (262K vs 131K), input pricing ($0.47 vs $0.35/M), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Kimi K2-Thinking-0905 is developed by Moonshot AI and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.