Model Comparison

DeepSeek-V3 0324 vs Hy3Which is better in 2026?

Hy3 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3 0324 vs Hy3 — which is better?

DeepSeek-V3 0324 (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 0324 outperforms in 0 benchmarks, while Hy3 is better at 1 benchmark (GPQA). Hy3 significantly outperforms across most benchmarks.

Choose DeepSeek-V3 0324 if…

  • you want predictable pricing at $0.28/M input and $1.14/M output

Choose Hy3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while Hy3 is better at 1 benchmark (GPQA).

Hy3 significantly outperforms across most benchmarks.

Sun Jul 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

376.0B diff

DeepSeek-V3 0324 has 376.0B more parameters than Hy3, making it 127.5% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Tencent
Hy3
295.0Bparameters
671.0B
DeepSeek-V3 0324
295.0B
Hy3

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 0324 specifies input context (163,840 tokens). Only DeepSeek-V3 0324 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Sun Jul 19 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 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 0324

MIT + Model License (Commercial use allowed)

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Hy3 was released on 2026-07-06.

Hy3 is 16 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.3 years ago

Hy3

Jul 6, 2026

1 weeks ago

1.3yr 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 (163,840 tokens)
Tencent
Higher GPQA score (90.4% vs 68.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and Hy3 side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324
✓ Preferred
Hy3
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Tencent
Hy3

FAQ

Common questions about DeepSeek-V3 0324 vs Hy3.

Which is better, DeepSeek-V3 0324 or Hy3?

Hy3 significantly outperforms across most benchmarks. DeepSeek-V3 0324 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 0324 compare to Hy3 in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. 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 0324 and Hy3?

DeepSeek-V3 0324 supports 164K 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 0324 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 0324 and Hy3?

DeepSeek-V3 0324 is developed by DeepSeek and Hy3 is developed by Tencent.

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