Model Comparison

DeepSeek-V3 vs Hy3Which is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 vs Hy3 — which is better?

DeepSeek-V3 (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-V3 outperforms in 0 benchmarks, while Hy3 is better at 2 benchmarks (GPQA, SWE-Bench Verified). Hy3 significantly outperforms across most benchmarks.

Choose DeepSeek-V3 if…

  • you want predictable pricing at $0.27/M input and $1.10/M output

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while Hy3 is better at 2 benchmarks (GPQA, SWE-Bench Verified).

Hy3 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

376.0B diff

DeepSeek-V3 has 376.0B more parameters than Hy3, making it 127.5% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Tencent
Hy3
295.0Bparameters
671.0B
DeepSeek-V3
295.0B
Hy3

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Hy3 uses Apache 2.0.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Hy3 was released on 2026-07-06.

Hy3 is 19 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.6 years ago

Hy3

Jul 6, 2026

1 weeks ago

1.5yr 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

DeepSeek
Larger context window (131,072 tokens)
Tencent
Higher GPQA score (90.4% vs 59.1%)
Higher SWE-Bench Verified score (78.0% vs 42.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Hy3 side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Tencent
Hy3

FAQ

Common questions about DeepSeek-V3 vs Hy3.

Which is better, DeepSeek-V3 or Hy3?

Hy3 significantly outperforms across most benchmarks. DeepSeek-V3 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-V3 compare to Hy3 in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 and Hy3?

DeepSeek-V3 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-V3 and Hy3?

Key differences include licensing (MIT + Model License (Commercial use allowed) vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Hy3?

DeepSeek-V3 is developed by DeepSeek and Hy3 is developed by Tencent.

Related comparisons