Model Comparison
Claude Opus 5 vs DeepSeek-V3.2 (Thinking)Which is better in 2026?
Claude Opus 5 significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 31.7x cheaper per token.
Verdict: Claude Opus 5 vs DeepSeek-V3.2 (Thinking) — which is better?
Claude Opus 5 (by Anthropic) and DeepSeek-V3.2 (Thinking) (by DeepSeek) 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.
Claude Opus 5 outperforms in 2 benchmarks (BrowseComp, Humanity's Last Exam), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks. Claude Opus 5 significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2 (Thinking) is roughly 31.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 5 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Jul 2026
Choose DeepSeek-V3.2 (Thinking) if…
- cost matters — it's about 31.7x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 5 outperforms in 2 benchmarks (BrowseComp, Humanity's Last Exam), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks.
Claude Opus 5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 5 ($5.00/1M tokens) is 17.9x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 59.5x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).
In conclusion, Claude Opus 5 is more expensive than DeepSeek-V3.2 (Thinking).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 5 accepts 1,000,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. Claude Opus 5 can generate longer responses up to 128,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Claude Opus 5 supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.
Claude Opus 5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5
DeepSeek-V3.2 (Thinking)
License
Usage and distribution terms
Claude Opus 5 is licensed under a proprietary license, while DeepSeek-V3.2 (Thinking) uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Opus 5 was released on 2026-07-24, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.
Claude Opus 5 is 8 months newer than DeepSeek-V3.2 (Thinking).
Jul 24, 2026
1 days ago
7mo newerDec 1, 2025
7 months 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 Opus 5 is available from Anthropic. DeepSeek-V3.2 (Thinking) is available from DeepSeek.
Claude Opus 5
DeepSeek-V3.2 (Thinking)
Outputs Comparison
Key Takeaways
Claude Opus 5
View detailsAnthropic
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Opus 5 and DeepSeek-V3.2 (Thinking) side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Opus 5 vs DeepSeek-V3.2 (Thinking).