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DeepSeek-V3.1 vs Hy4 preview

Hy4 preview leads the LLM Stats Score 51.1 to 22.3.

DeepSeek · Tencent · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.1 to 22.3, ranking #14 overall.

In the 2 individual benchmarks reported for both models, Hy4 preview wins 2; 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-V3.1

  • you want predictable pricing at $0.27/M input and $1.00/M output

Choose Hy4 preview

  • overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek-V3.1
DeepSeek
Hy4 preview
Tencent
Core performance indexes
LLM Stats Score
22.3
#168
51.1
#14
Reasoning
22.6
#161
50.7
#11
Coding
12.8
#135
39.8
#12
Agents
0.6
#159
36.3
#14
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.27 / M
— / M
Output price
$1.00 / M
— / M
Context window
163,840
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V3.1
Hy4 preview
Math
18.9#167
39.4#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for DeepSeek-V3.1 · 32 for Hy4 preview

2 shared

DeepSeek-V3.1 outperforms in 0 benchmarks, while Hy4 preview is better at 2 benchmarks (GPQA, SWE-bench Multilingual).

Hy4 preview significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

99.0B diff

Hy4 preview has 99.0B more parameters than DeepSeek-V3.1, making it 14.8% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Tencent
Hy4 preview
770.0Bparameters
671.0B
DeepSeek-V3.1
770.0B
Hy4 preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.1 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-V3.1

MIT

Open weights

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 20 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.6 years ago

Hy4 preview

Aug 28, 2026

6 days ago

1.6yr newer

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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and Hy4 preview side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about DeepSeek-V3.1 vs Hy4 preview.

Which is better, DeepSeek-V3.1 or Hy4 preview?

Hy4 preview leads the LLM Stats Score 51.1 to 22.3. DeepSeek-V3.1 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-V3.1 compare to Hy4 preview in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. 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-V3.1 and Hy4 preview?

DeepSeek-V3.1 supports 164K 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-V3.1 and Hy4 preview?

Key differences include LLM Stats Score (22.3 vs 51.1), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and Hy4 preview?

DeepSeek-V3.1 is developed by DeepSeek and Hy4 preview is developed by Tencent.

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