Kimi K2-Instruct-0905 vs Nova Lite Comparison

Comparing Kimi K2-Instruct-0905 and Nova Lite across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi K2-Instruct-0905 outperforms in 3 benchmarks (GPQA, IFEval, MMLU), while Nova Lite is better at 0 benchmarks.

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

Tue Mar 17 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 Mar 17 2026 • llm-stats.com
Moonshot AI
Kimi K2-Instruct-0905
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Amazon
Nova Lite
Input tokens$0.06
Output tokens$0.24
Best providerAWS Bedrock
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Context Window

Maximum input and output token capacity

Only Nova Lite specifies input context (300,000 tokens). Only Nova Lite specifies output context (2,048 tokens).

Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Amazon
Nova Lite
Input300,000 tokens
Output2,048 tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Lite supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Nova Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2-Instruct-0905

Text
Images
Audio
Video

Nova Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Instruct-0905 is licensed under MIT, while Nova Lite uses a proprietary license.

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

Kimi K2-Instruct-0905

MIT

Open weights

Nova Lite

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2-Instruct-0905 was released on 2025-09-05, while Nova Lite was released on 2024-11-20.

Kimi K2-Instruct-0905 is 10 months newer than Nova Lite.

Kimi K2-Instruct-0905

Sep 5, 2025

6 months ago

9mo newer
Nova Lite

Nov 20, 2024

1.3 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

Has open weights
Higher GPQA score (75.1% vs 42.0%)
Higher IFEval score (89.8% vs 89.7%)
Higher MMLU score (89.5% vs 80.5%)
Larger context window (300,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2-Instruct-0905
Amazon
Nova Lite