Model Comparison

DeepSeek VL2 Tiny vs Claude 3.7 Sonnet

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek VL2 Tiny outperforms in 0 benchmarks, while Claude 3.7 Sonnet is better at 1 benchmark (MMMU).

Claude 3.7 Sonnet significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.7 Sonnet specifies input context (200,000 tokens). Only Claude 3.7 Sonnet specifies output context (128,000 tokens).

DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Anthropic
Claude 3.7 Sonnet
Input200,000 tokens
Output128,000 tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek VL2 Tiny and Claude 3.7 Sonnet support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2 Tiny

Text
Images
Audio
Video

Claude 3.7 Sonnet

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 Tiny is licensed under deepseek, while Claude 3.7 Sonnet uses a proprietary license.

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

DeepSeek VL2 Tiny

deepseek

Open weights

Claude 3.7 Sonnet

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 Tiny was released on 2024-12-13, while Claude 3.7 Sonnet was released on 2025-02-24.

Claude 3.7 Sonnet is 2 months newer than DeepSeek VL2 Tiny.

DeepSeek VL2 Tiny

Dec 13, 2024

1.4 years ago

Claude 3.7 Sonnet

Feb 24, 2025

1.2 years ago

2mo 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→

Key Takeaways

DeepSeek
Has open weights
Anthropic
Larger context window (200,000 tokens)
Higher MMMU score (75.0% vs 40.7%)
DeepSeekDeepSeek VL2 Tiny
AnthropicClaude 3.7 Sonnet
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek VL2 Tiny
Anthropic
Claude 3.7 Sonnet

FAQ

Common questions about DeepSeek VL2 Tiny vs Claude 3.7 Sonnet.

Which is better, DeepSeek VL2 Tiny or Claude 3.7 Sonnet?

Claude 3.7 Sonnet significantly outperforms across most benchmarks. DeepSeek VL2 Tiny is made by DeepSeek and Claude 3.7 Sonnet is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek VL2 Tiny compare to Claude 3.7 Sonnet in benchmarks?

DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%. Claude 3.7 Sonnet scores MATH-500: 96.2%, IFEval: 93.2%, MMMLU: 86.1%, GPQA: 84.8%, TAU-bench Retail: 81.2%.

What are the context window sizes for DeepSeek VL2 Tiny and Claude 3.7 Sonnet?

DeepSeek VL2 Tiny supports an unknown number of tokens and Claude 3.7 Sonnet supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 Tiny and Claude 3.7 Sonnet?

Key differences include licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 Tiny and Claude 3.7 Sonnet?

DeepSeek VL2 Tiny is developed by DeepSeek and Claude 3.7 Sonnet is developed by Anthropic.