Claude Mythos 5.2 vs DeepSeek-V4-Pro-0813
Claude Mythos 5.2 leads the LLM Stats Score 59.6 to 49.3. DeepSeek-V4-Pro-0813 is 9.8x cheaper per token.
Anthropic · DeepSeek · Updated for 2026
Which is better?
Claude Mythos 5.2 leads the overall LLM Stats Score 59.6 to 49.3, ranking #2 overall.
On price, DeepSeek-V4-Pro-0813 is roughly 9.8x 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 Mythos 5.2
- overall performance matters — it scores 59.6 and ranks #2 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you want the most recent training data — it shipped Nov 2026
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 9.8x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- 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
9 reported for Claude Mythos 5.2 · 12 for DeepSeek-V4-Pro-0813
Claude Mythos 5.2 and DeepSeek-V4-Pro-0813don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Mythos 5.2 ($8.00/1M tokens) is 6.2x more expensive than DeepSeek-V4-Pro-0813 ($1.30/1M tokens).
For output processing, Claude Mythos 5.2 ($40.00/1M tokens) is 15.4x more expensive than DeepSeek-V4-Pro-0813 ($2.60/1M tokens).
In conclusion, Claude Mythos 5.2 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 Mythos 5.2's 1,000,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 1,048,576 tokens, while Claude Mythos 5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Mythos 5.2 supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Claude Mythos 5.2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Mythos 5.2
DeepSeek-V4-Pro-0813
License
Usage and distribution terms
Claude Mythos 5.2 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 Mythos 5.2 was released on 2026-11-09, while DeepSeek-V4-Pro-0813 was released on 2026-08-13.
Claude Mythos 5.2 is 3 months newer than DeepSeek-V4-Pro-0813.
Nov 9, 2026
1 days ago
2mo newerAug 13, 2026
2 months ago
Knowledge Cutoff
When training data ends
Claude Mythos 5.2 has a documented knowledge cutoff of 2026-06-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm Claude Mythos 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
Jun 2026
—
Provider Availability
Claude Mythos 5.2 is available from Anthropic. DeepSeek-V4-Pro-0813 is available from DeepInfra, DeepSeek, Novita, Together.
Claude Mythos 5.2
DeepSeek-V4-Pro-0813
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Mythos 5.2 and DeepSeek-V4-Pro-0813 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Mythos 5.2 vs DeepSeek-V4-Pro-0813.