Model Comparison

Kimi K2-Thinking-0905 vs Nova Pro

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Kimi K2-Thinking-0905 is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi K2-Thinking-0905 outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.

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

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2-Thinking-0905 costs less

For input processing, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 1.7x cheaper than Nova Pro ($0.80/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 1.6x cheaper than Nova Pro ($3.20/1M tokens).

In conclusion, Nova Pro is more expensive than Kimi K2-Thinking-0905.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
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

Nova Pro accepts 300,000 input tokens compared to Kimi K2-Thinking-0905's 262,144 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while Kimi K2-Thinking-0905 is limited to 262,144 tokens.

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Nova Pro supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

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

Kimi K2-Thinking-0905

Text
Images
Audio
Video

Nova Pro

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Thinking-0905 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-Thinking-0905

MIT

Open weights

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

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

Kimi K2-Thinking-0905 is 10 months newer than Nova Pro.

Kimi K2-Thinking-0905

Sep 5, 2025

7 months ago

9mo 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

Provider Availability

Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Nova Pro is available from Bedrock.

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

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (84.5% vs 46.9%)
Amazon
Larger context window (300,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2-Thinking-0905
Amazon
Nova Pro

FAQ

Common questions about Kimi K2-Thinking-0905 vs Nova Pro

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Kimi K2-Thinking-0905 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-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.
Kimi K2-Thinking-0905 is 1.7x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.
Kimi K2-Thinking-0905 supports 262K 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 context window (262K vs 300K), input pricing ($0.47 vs $0.80/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Kimi K2-Thinking-0905 is developed by Moonshot AI and Nova Pro is developed by Amazon.