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Claude 3.5 Sonnet vs Kimi K2 Base

Claude 3.5 Sonnet and Kimi K2 Base are closely matched at 15.9 and 13.5 on the LLM Stats Score.

Anthropic · Moonshot AI · Updated for 2026

Which is better?

Claude 3.5 Sonnet and Kimi K2 Base are closely matched on the overall LLM Stats Score at 15.9 and 13.5.

In the 5 individual benchmarks reported for both models, Claude 3.5 Sonnet wins 5; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude 3.5 Sonnet

  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Kimi K2 Base

  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
15.9
#230
13.5
#247
16.0
#221
12.6
#245
13.0
#142
10.6
#166
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$3.00 / M
— / M
Output price
$15.00 / M
— / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Claude 3.5 Sonnet
Kimi K2 Base
22.7#133
14.3#219
22.7#72
16.3#113
22.7#59
16.3#95
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Claude 3.5 Sonnet · 13 for Kimi K2 Base

5 shared

Claude 3.5 Sonnet outperforms in 5 benchmarks (GPQA, GSM8k, MATH, MMLU, MMLU-Pro), while Kimi K2 Base is better at 0 benchmarks.

Claude 3.5 Sonnet significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude 3.5 Sonnet specifies input context (200,000 tokens). Only Claude 3.5 Sonnet specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Sonnet
Input200,000 tokens
Output200,000 tokens
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude 3.5 Sonnet supports multimodal inputs, whereas Kimi K2 Base does not.

Claude 3.5 Sonnet can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Sonnet

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.5 Sonnet is licensed under a proprietary license, while Kimi K2 Base uses MIT.

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

Claude 3.5 Sonnet

Proprietary

Closed source

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Sonnet was released on 2024-06-21, while Kimi K2 Base was released on 2025-07-11.

Kimi K2 Base is 13 months newer than Claude 3.5 Sonnet.

Claude 3.5 Sonnet

Jun 21, 2024

2.3 years ago

Kimi K2 Base

Jul 11, 2025

1.2 years ago

1.1yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Claude 3.5 Sonnet and Kimi K2 Base side-by-side, then vote on the output you prefer.

Claude 3.5 Sonnet
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about Claude 3.5 Sonnet vs Kimi K2 Base.

Which is better, Claude 3.5 Sonnet or Kimi K2 Base?

Claude 3.5 Sonnet and Kimi K2 Base are closely matched on the LLM Stats Score at 15.9 and 13.5. Claude 3.5 Sonnet is made by Anthropic and Kimi K2 Base is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude 3.5 Sonnet compare to Kimi K2 Base in benchmarks?

Claude 3.5 Sonnet scores GSM8k: 96.4%, BIG-Bench Hard: 93.1%, HumanEval: 92.0%, MGSM: 91.6%, MMLU: 90.4%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for Claude 3.5 Sonnet and Kimi K2 Base?

Claude 3.5 Sonnet supports 200K tokens and Kimi K2 Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3.5 Sonnet and Kimi K2 Base?

Key differences include LLM Stats Score (15.9 vs 13.5), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Sonnet and Kimi K2 Base?

Claude 3.5 Sonnet is developed by Anthropic and Kimi K2 Base is developed by Moonshot AI.