Model Comparison

Kimi K2 Base vs Nova Pro

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Kimi K2 Base outperforms in 2 benchmarks (GPQA, MMLU), while Nova Pro is better at 2 benchmarks (GSM8k, MATH).

Both models are evenly matched across the benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Nova Pro specifies input context (300,000 tokens). Only Nova Pro specifies output context (300,000 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas Kimi K2 Base does not.

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

Kimi K2 Base

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Nova Pro uses a proprietary license.

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

Kimi K2 Base

MIT

Open weights

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Nova Pro was released on 2024-11-20.

Kimi K2 Base is 8 months newer than Nova Pro.

Kimi K2 Base

Jul 11, 2025

9 months ago

7mo newer
Nova Pro

Nov 20, 2024

1.4 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
Has open weights
Higher GPQA score (48.1% vs 46.9%)
Higher MMLU score (87.8% vs 85.9%)
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs
Higher GSM8k score (94.8% vs 92.1%)
Higher MATH score (76.6% vs 70.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 Base
Amazon
Nova Pro

FAQ

Common questions about Kimi K2 Base vs Nova Pro

Both models are evenly matched across the benchmarks. Kimi K2 Base is made by Moonshot AI and Nova Pro is made by Amazon. 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%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
Kimi K2 Base supports an unknown number of tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2 Base is developed by Moonshot AI and Nova Pro is developed by Amazon.