DeepSeek-V4-Pro-0813 vs Hy3
DeepSeek-V4-Pro-0813 leads the LLM Stats Score 52.0 to 43.2. Hy3 is 2.2x cheaper per token.
DeepSeek · Tencent · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 leads the overall LLM Stats Score 52.0 to 43.2, ranking #12 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.
On price, Hy3 is roughly 2.2x 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 DeepSeek-V4-Pro-0813
- overall performance matters — it scores 52.0 and ranks #12 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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Hy3
- cost matters — it's about 2.2x cheaper per token
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
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 3.1x more expensive than Hy3 ($0.14/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.5x more expensive than Hy3 ($0.58/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
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
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Hy3's 262,144 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Hy3 is limited to 262,144 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
1 months ago
1mo newerJul 6, 2026
2 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
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Hy3 is available from DeepInfra.
DeepSeek-V4-Pro-0813
Hy3
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.