Claude Opus 5 vs DeepSeek-V4-Pro-0813
Claude Opus 5 and DeepSeek-V4-Pro-0813 are closely matched at 56.2 and 54.1 on the LLM Stats Score. DeepSeek-V4-Pro-0813 is 18.4x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Opus 5 and DeepSeek-V4-Pro-0813 are closely matched on the overall LLM Stats Score at 56.2 and 54.1.
The models split the 2 individual benchmarks reported for both models evenly.
On price, DeepSeek-V4-Pro-0813 is roughly 18.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 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 Opus 5
- you want predictable pricing at $5.00/M input and $25.00/M output
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 18.4x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for Claude Opus 5 · 12 for DeepSeek-V4-Pro-0813
Claude Opus 5 outperforms in 1 benchmarks (Humanity's Last Exam), while DeepSeek-V4-Pro-0813 is better at 1 benchmark (AutomationBench).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 5 ($5.00/1M tokens) is 11.5x more expensive than DeepSeek-V4-Pro-0813 ($0.43/1M tokens).
For output processing, Claude Opus 5 ($25.00/1M tokens) is 28.7x more expensive than DeepSeek-V4-Pro-0813 ($0.87/1M tokens).
In conclusion, Claude Opus 5 is more expensive than DeepSeek-V4-Pro-0813.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Claude Opus 5's 1,000,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Claude Opus 5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 5 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 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-V4-Pro-0813
License
Usage and distribution terms
Claude Opus 5 is licensed under a proprietary license, while DeepSeek-V4-Pro-0813 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-V4-Pro-0813 was released on 2026-08-13.
DeepSeek-V4-Pro-0813 is 1 month newer than Claude Opus 5.
Jul 24, 2026
1 months ago
Aug 13, 2026
2 weeks ago
2w newerKnowledge 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-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together.
Claude Opus 5
DeepSeek-V4-Pro-0813
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5 and DeepSeek-V4-Pro-0813 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5 vs DeepSeek-V4-Pro-0813.