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DeepSeek-V4.1-Flash-1017 vs Hy4 preview

DeepSeek-V4.1-Flash-1017 and Hy4 preview are closely matched at 51.2 and 49.6 on the LLM Stats Score.

DeepSeek · Tencent · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Hy4 preview are closely matched on the overall LLM Stats Score at 51.2 and 49.6.

In the 5 individual benchmarks reported for both models, DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Hy4 preview

  • you are already invested in the Tencent ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Hy4 preview
Tencent
Core performance indexes
LLM Stats Score
51.2
#15
49.6
#23
Reasoning
48.8
#18
49.8
#15
Coding
39.3
#14
37.0
#26
Agents
38.7
#8
34.8
#27
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash-1017
Hy4 preview
Math
31.8#69
38.5#26
Tool use
31.3#6
28.9#20
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 32 for Hy4 preview

5 shared

DeepSeek-V4.1-Flash-1017 outperforms in 5 benchmarks (Agents' Last Exam, AutomationBench, Humanity's Last Exam (no tools, text-only), NL2Repo, Program Bench), while Hy4 preview is better at 0 benchmarks.

DeepSeek-V4.1-Flash-1017 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

6.8B diff

Hy4 preview has 6.8B more parameters than DeepSeek-V4.1-Flash-1017, making it 0.9% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Tencent
Hy4 preview
770.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
770.0B
Hy4 preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Hy4 preview does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Hy4 preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while Hy4 preview uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4.1-Flash-1017

MIT

Open weights

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Hy4 preview was released on 2026-08-28.

DeepSeek-V4.1-Flash-1017 is 2 months newer than Hy4 preview.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1mo newer
Hy4 preview

Aug 28, 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.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Hy4 preview side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Hy4 preview.

Which is better, DeepSeek-V4.1-Flash-1017 or Hy4 preview?

DeepSeek-V4.1-Flash-1017 and Hy4 preview are closely matched on the LLM Stats Score at 51.2 and 49.6. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Hy4 preview is made by Tencent. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to Hy4 preview in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Hy4 preview?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Hy4 preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash-1017 and Hy4 preview?

Key differences include LLM Stats Score (51.2 vs 49.6), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Hy4 preview?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Hy4 preview is developed by Tencent.

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