Claude 3.7 Sonnet vs DeepSeek VL2
Claude 3.7 Sonnet leads the LLM Stats Score 24.2 to 3.2.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude 3.7 Sonnet leads the overall LLM Stats Score 24.2 to 3.2, ranking #155 overall.
In the 1 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 1; this is a narrower head-to-head signal than the composite indexes.
Claude 3.7 Sonnet also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude 3.7 Sonnet
- overall performance matters — it scores 24.2 and ranks #155 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Feb 2025
Choose DeepSeek VL2
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 14 for DeepSeek VL2
Claude 3.7 Sonnet outperforms in 1 benchmarks (MMMU), while DeepSeek VL2 is better at 0 benchmarks.
Claude 3.7 Sonnet significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to DeepSeek VL2's 129,280 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude 3.7 Sonnet and DeepSeek VL2 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
DeepSeek VL2
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
deepseek
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while DeepSeek VL2 was released on 2024-12-13.
Claude 3.7 Sonnet is 2 months newer than DeepSeek VL2.
Feb 24, 2025
1.5 years ago
2mo newerDec 13, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. DeepSeek VL2 is available from Replicate.
Claude 3.7 Sonnet
DeepSeek VL2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and DeepSeek VL2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs DeepSeek VL2.