Model Comparison

DeepSeek-R1-0528 vs Hy3Which is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: DeepSeek-R1-0528 vs Hy3 — which is better?

DeepSeek-R1-0528 (by DeepSeek) and Hy3 (by Tencent) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-R1-0528 outperforms in 0 benchmarks, while Hy3 is better at 4 benchmarks (BrowseComp, GPQA, SWE-bench Multilingual, SWE-Bench Verified). Hy3 significantly outperforms across most benchmarks.

Choose DeepSeek-R1-0528 if…

  • you want predictable pricing at $0.50/M input and $2.15/M output

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-R1-0528 outperforms in 0 benchmarks, while Hy3 is better at 4 benchmarks (BrowseComp, GPQA, SWE-bench Multilingual, SWE-Bench Verified).

Hy3 significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

376.0B diff

DeepSeek-R1-0528 has 376.0B more parameters than Hy3, making it 127.5% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Tencent
Hy3
295.0Bparameters
671.0B
DeepSeek-R1-0528
295.0B
Hy3

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 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.

DeepSeek-R1-0528

MIT

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Hy3 was released on 2026-07-06.

Hy3 is 13 months newer than DeepSeek-R1-0528.

DeepSeek-R1-0528

May 28, 2025

1.1 years ago

Hy3

Jul 6, 2026

2 weeks ago

1.1yr 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

Key Takeaways

Larger context window (131,072 tokens)
Higher BrowseComp score (84.2% vs 8.9%)
Higher GPQA score (90.4% vs 81.0%)
Higher SWE-bench Multilingual score (75.8% vs 30.5%)
Higher SWE-Bench Verified score (78.0% vs 44.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-R1-0528 and Hy3 side-by-side, then vote on the output you prefer.

DeepSeek-R1-0528
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Tencent
Hy3

FAQ

Common questions about DeepSeek-R1-0528 vs Hy3.

Which is better, DeepSeek-R1-0528 or Hy3?

Hy3 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and Hy3 is made by Tencent. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to Hy3 in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for DeepSeek-R1-0528 and Hy3?

DeepSeek-R1-0528 supports 131K tokens and Hy3 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-R1-0528 and Hy3?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Hy3?

DeepSeek-R1-0528 is developed by DeepSeek and Hy3 is developed by Tencent.