Model Comparison
DeepSeek-V3 vs Claude 3 OpusWhich is better in 2026?
DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is 62.8x cheaper per token.
Verdict: DeepSeek-V3 vs Claude 3 Opus — which is better?
DeepSeek-V3 (by DeepSeek) and Claude 3 Opus (by Anthropic) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek-V3 outperforms in 4 benchmarks (DROP, GPQA, MMLU, MMLU-Pro), while Claude 3 Opus is better at 0 benchmarks. DeepSeek-V3 significantly outperforms across most benchmarks.
On price, DeepSeek-V3 is roughly 62.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3 Opus also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 62.8x cheaper per token
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
Choose Claude 3 Opus if…
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 outperforms in 4 benchmarks (DROP, GPQA, MMLU, MMLU-Pro), while Claude 3 Opus is better at 0 benchmarks.
DeepSeek-V3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 ($0.27/1M tokens) is 55.6x cheaper than Claude 3 Opus ($15.00/1M tokens).
For output processing, DeepSeek-V3 ($1.10/1M tokens) is 68.2x cheaper than Claude 3 Opus ($75.00/1M tokens).
In conclusion, Claude 3 Opus 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 Opus accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. Claude 3 Opus can generate longer responses up to 200,000 tokens, while DeepSeek-V3 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Claude 3 Opus supports multimodal inputs, whereas DeepSeek-V3 does not.
Claude 3 Opus can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3
Claude 3 Opus
License
Usage and distribution terms
DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Claude 3 Opus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 was released on 2024-12-25, while Claude 3 Opus was released on 2024-02-29.
DeepSeek-V3 is 10 months newer than Claude 3 Opus.
Dec 25, 2024
1.5 years ago
10mo newerFeb 29, 2024
2.3 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
DeepSeek-V3 is available from DeepSeek. Claude 3 Opus is available from Anthropic, Bedrock, Google.
DeepSeek-V3
Claude 3 Opus
Outputs Comparison
Key Takeaways
DeepSeek-V3
View detailsDeepSeek
Claude 3 Opus
View detailsAnthropic
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3 and Claude 3 Opus side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3 vs Claude 3 Opus.