Claude 3.7 Sonnet vs DeepSeek-V3
Claude 3.7 Sonnet leads the LLM Stats Score 24.1 to 15.7. DeepSeek-V3 is 12.6x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude 3.7 Sonnet leads the overall LLM Stats Score 24.1 to 15.7, ranking #159 overall.
In the 5 individual benchmarks reported for both models, Claude 3.7 Sonnet wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V3 is roughly 12.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 24.1 and ranks #159 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 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-V3
- cost matters — it's about 12.6x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Claude 3.7 Sonnet · 20 for DeepSeek-V3
Claude 3.7 Sonnet outperforms in 5 benchmarks (AIME 2024, GPQA, IFEval, MATH-500, SWE-Bench Verified), while DeepSeek-V3 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
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.7 Sonnet ($3.00/1M tokens) is 11.1x more expensive than DeepSeek-V3 ($0.27/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 13.6x more expensive than DeepSeek-V3 ($1.10/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than DeepSeek-V3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.7 Sonnet accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while Claude 3.7 Sonnet is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude 3.7 Sonnet supports multimodal inputs, whereas DeepSeek-V3 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
DeepSeek-V3
License
Usage and distribution terms
Claude 3.7 Sonnet is licensed under a proprietary license, while DeepSeek-V3 uses MIT + Model License (Commercial use allowed).
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT + Model License (Commercial use allowed)
Open weights
Release Timeline
When each model was launched
Claude 3.7 Sonnet was released on 2025-02-24, while DeepSeek-V3 was released on 2024-12-25.
Claude 3.7 Sonnet is 2 months newer than DeepSeek-V3.
Feb 24, 2025
1.5 years ago
2mo newerDec 25, 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-V3 is available from DeepSeek.
Claude 3.7 Sonnet
DeepSeek-V3
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and DeepSeek-V3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.7 Sonnet vs DeepSeek-V3.