Model Comparison

Kimi K2 Instruct vs Qwen2.5 7B Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Qwen2.5 7B Instruct is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Kimi K2 Instruct outperforms in 8 benchmarks (GPQA, GSM8k, HumanEval, IFEval, LiveBench, MMLU-Pro, MMLU-Redux, MultiPL-E), while Qwen2.5 7B Instruct is better at 0 benchmarks.

Kimi K2 Instruct significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, Kimi K2 Instruct ($0.50/1M tokens) is 1.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 1.7x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

992.4B diff

Kimi K2 Instruct has 992.4B more parameters than Qwen2.5 7B Instruct, making it 13040.6% larger.

Moonshot AI
Kimi K2 Instruct
1000.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
1000.0B
Kimi K2 Instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Kimi K2 Instruct

MIT

Open weights

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Qwen2.5 7B Instruct was released on 2024-09-19.

Kimi K2 Instruct is 10 months newer than Qwen2.5 7B Instruct.

Kimi K2 Instruct

Jul 11, 2025

9 months ago

9mo newer
Qwen2.5 7B 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 Instruct is available from Fireworks, Novita. Qwen2.5 7B Instruct is available from Together.

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (200,000 tokens)
Higher GPQA score (75.1% vs 36.4%)
Higher GSM8k score (97.3% vs 91.6%)
Higher HumanEval score (93.3% vs 84.8%)
Higher IFEval score (89.8% vs 71.2%)
Higher LiveBench score (76.4% vs 35.9%)
Higher MMLU-Pro score (81.1% vs 56.3%)
Higher MMLU-Redux score (92.7% vs 75.4%)
Higher MultiPL-E score (85.7% vs 70.4%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B 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 Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Kimi K2 Instruct vs Qwen2.5 7B Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Kimi K2 Instruct is made by Moonshot AI and Qwen2.5 7B 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 scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Qwen2.5 7B Instruct is 1.7x cheaper for input tokens. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Kimi K2 Instruct supports 200K tokens and Qwen2.5 7B 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 (200K vs 131K), input pricing ($0.50 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Kimi K2 Instruct is developed by Moonshot AI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.