DeepSeek-V4-Pro-0813 vs Hy3
DeepSeek-V4-Pro-0813 leads the LLM Stats Score 54.1 to 42.9.
DeepSeek · Tencent · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 54.1 to 42.9, ranking #7 overall.
In the 6 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 5; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- overall performance matters — it scores 54.1 and ranks #7 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose Hy3
- you are already invested in the Tencent ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 31 for Hy3
DeepSeek-V4-Pro-0813 outperforms in 5 benchmarks (DeepSWE, Humanity's Last Exam (with tools, text-only), NL2Repo, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 1 benchmark (Humanity's Last Exam (no tools, text-only)).
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1305.0B more parameters than Hy3, making it 442.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Hy3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Hy3 was released on 2026-07-06.
DeepSeek-V4-Pro-0813 is 1 month newer than Hy3.
Aug 13, 2026
2 weeks ago
1mo newerJul 6, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Hy3.