DeepSeek-V4-Flash-0731 vs Hy3
DeepSeek-V4-Flash-0731 and Hy3 are closely matched at 46.1 and 42.9 on the LLM Stats Score.
DeepSeek · Tencent · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and Hy3 are closely matched on the overall LLM Stats Score at 46.1 and 42.9.
In the 4 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 4; 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-Flash-0731
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Jul 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
9 reported for DeepSeek-V4-Flash-0731 · 31 for Hy3
DeepSeek-V4-Flash-0731 outperforms in 4 benchmarks (DeepSWE, NL2Repo, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 9.0B more parameters than Hy3, making it 3.1% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (384,000 tokens).
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 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-Flash-0731 was released on 2026-07-31, while Hy3 was released on 2026-07-06.
DeepSeek-V4-Flash-0731 is 1 month newer than Hy3.
Jul 31, 2026
4 weeks ago
3w 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-Flash-0731 and Hy3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Hy3.