No benchmark covers both models
Their individual scores, pricing and specs are still listed below.

DeepSeek-V4-Flash
DeepSeek-AI
Benchmark-by-benchmark comparison. Changing the thinking mode or tool filters updates the chart and table below.
“Best available” picks the best non-parallel result in the metric’s stated direction separately for each benchmark. The resulting series can combine several reasoning levels and is not one reproducible runtime configuration. Choose a mode filter to compare like-for-like runs.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Each axis is the mean percentage score of one benchmark domain. It is an average, not a capability rating.
Relative edge: 指令跟随 +11.1 / Relative gap: none clear
Relative edge: none clear / Relative gap: 指令跟随 -11.1
Method: for each model and benchmark, all scores in the current mode scope are averaged (not the best score), then those benchmark scores are averaged within each domain. Only benchmarks scored on a 0-100 scale by at least two of the selected models count — Elo and rating-scale benchmarks such as Codeforces or Arena are excluded, because averaging a 1500 rating with an 85% accuracy produces a meaningless number. Missing values are not counted as zero, and the averages are unweighted, so domains with harder benchmarks read lower.
Every model and runtime mode, benchmark by benchmark. Values are comparable along a row, not between different benchmarks.
6 benchmarks with comparable scores. Each model shows its best score; mode label is displayed below.
| Benchmark | DeepSeek-V4-Flash | Hy3 Pre |
|---|---|---|
7.10Thinking Level · High | 4.60Thinking Enabled | |
51.50Thinking Level · High | Tools | 27.80Thinking Enabled | |
89.40Thinking Level · High | 86.70Thinking Enabled | |
38.60Thinking Level · High | Tools | 34.10Thinking Enabled | Tools | |
95.60Thinking Level · High | Tools | 92.70Thinking Enabled | Tools | |
79.20Thinking Level · High | 63.10Thinking Enabled |
Official list prices per model API, split by input and output. Unit: USD per 1M tokens.
Architecture, licensing and API modalities. "Not provided" means the field is missing from our database.
| Features & specs | DeepSeek-V4-FlashDeepSeek-AI | Hy3 Pre腾讯AI实验室 |
|---|---|---|
Core specsRelease | 2026-04-24 | 2026-04-23 |
Context length | 1M | 256K |
Total parameters | 284B | 295B |
Active parameters | 13B | 21B |
Max output length | 384,000 tokens | Not provided |
Architecture | MoE (mixture of experts) | MoE (mixture of experts) |
Runtime modes | 关闭高最高 | 关闭深度 |
Availability & licensingCode availability | Available · MIT License | Available · TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT |
Weight availability | Available · MIT License | Available · TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT |
Use & commercial terms | 免费商用授权 | 免费商用授权 |
Local deploymentWeights | Hugging Face | Hugging Face |
API modality supportText Input/Output | Input:YesOutput:Yes | Input:YesOutput:Yes |
ResourcesPaper / report | DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence | Tencent Hunyuan Hy3 Preview |

Hy3 Pre
腾讯AI实验室