Model Comparison

DeepSeek-R1 vs Hy3Which is better in 2026?

Comparing DeepSeek-R1 and Hy3 across benchmarks, pricing, and capabilities.

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

DeepSeek-R1 (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.

Choose DeepSeek-R1 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose Hy3 if…

  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Hy3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

376.0B diff

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

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

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Mon Jul 20 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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

MIT

Open weights

Hy3

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Hy3 was released on 2026-07-06.

Hy3 is 18 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.5 years ago

Hy3

Jul 6, 2026

2 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

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about DeepSeek-R1 vs Hy3.

Which is better, DeepSeek-R1 or Hy3?

DeepSeek-R1 (DeepSeek) and Hy3 (Tencent) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Hy3 in benchmarks?

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 and Hy3?

DeepSeek-R1 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 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 and Hy3?

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

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