Model Comparison

Claude 3.7 Sonnet vs Kimi K2-Thinking-0905

Kimi K2-Thinking-0905 shows notably better performance in the majority of benchmarks. Kimi K2-Thinking-0905 is 7.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.7 Sonnet outperforms in 1 benchmarks (GPQA), while Kimi K2-Thinking-0905 is better at 3 benchmarks (AIME 2025, SWE-Bench Verified, Terminal-Bench).

Kimi K2-Thinking-0905 shows notably better performance in the majority of benchmarks.

Fri Apr 17 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, Claude 3.7 Sonnet ($3.00/1M tokens) is 6.4x more expensive than Kimi K2-Thinking-0905 ($0.47/1M tokens).

For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 7.5x more expensive than Kimi K2-Thinking-0905 ($2.00/1M tokens).

In conclusion, Claude 3.7 Sonnet is more expensive than Kimi K2-Thinking-0905.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Anthropic
Claude 3.7 Sonnet
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Kimi K2-Thinking-0905 accepts 262,144 input tokens compared to Claude 3.7 Sonnet's 200,000 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.

Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3.7 Sonnet supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

Claude 3.7 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.7 Sonnet

Text
Images
Audio
Video

Kimi K2-Thinking-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.7 Sonnet is licensed under a proprietary license, while Kimi K2-Thinking-0905 uses MIT.

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

Claude 3.7 Sonnet

Proprietary

Closed source

Kimi K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.7 Sonnet was released on 2025-02-24, while Kimi K2-Thinking-0905 was released on 2025-09-05.

Kimi K2-Thinking-0905 is 6 months newer than Claude 3.7 Sonnet.

Claude 3.7 Sonnet

Feb 24, 2025

1.1 years ago

Kimi K2-Thinking-0905

Sep 5, 2025

7 months ago

6mo newer

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

Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks.

Claude 3.7 Sonnet

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
google logo
Google
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Anthropic
Supports multimodal inputs
Higher GPQA score (84.8% vs 84.5%)
Moonshot AI
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (100.0% vs 54.8%)
Higher SWE-Bench Verified score (71.3% vs 70.3%)
Higher Terminal-Bench score (47.1% vs 35.2%)
AnthropicClaude 3.7 Sonnet
Moonshot AIKimi K2-Thinking-0905
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Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.7 Sonnet
Moonshot AI
Kimi K2-Thinking-0905

FAQ

Common questions about Claude 3.7 Sonnet vs Kimi K2-Thinking-0905

Kimi K2-Thinking-0905 shows notably better performance in the majority of benchmarks. Claude 3.7 Sonnet is made by Anthropic and Kimi K2-Thinking-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%. Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.
Kimi K2-Thinking-0905 is 6.4x cheaper for input tokens. Claude 3.7 Sonnet costs $3.00/M input and $15.00/M output via anthropic. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra.
Claude 3.7 Sonnet supports 200K tokens and Kimi K2-Thinking-0905 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 262K), input pricing ($3.00 vs $0.47/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.7 Sonnet is developed by Anthropic and Kimi K2-Thinking-0905 is developed by Moonshot AI.