Model Comparison

Hy3 vs Ministral 3 (14B Base 2512)Which is better in 2026?

Comparing Hy3 and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.

Verdict: Hy3 vs Ministral 3 (14B Base 2512) — which is better?

Hy3 (by Tencent) and Ministral 3 (14B Base 2512) (by Mistral AI) 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 Hy3 if…

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

Choose Ministral 3 (14B Base 2512) if…

  • you are already invested in the Mistral AI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Hy3 and Ministral 3 (14B Base 2512)don'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

281.0B diff

Hy3 has 281.0B more parameters than Ministral 3 (14B Base 2512), making it 2007.1% larger.

Tencent
Hy3
295.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
295.0B
Hy3
14.0B
Ministral 3 (14B Base 2512)

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Hy3 does not.

Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Hy3

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Hy3

Apache 2.0

Open weights

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Hy3 is 7 months newer than Ministral 3 (14B Base 2512).

Hy3

Jul 6, 2026

2 weeks ago

7mo newer
Ministral 3 (14B Base 2512)

Dec 4, 2025

7 months ago

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

Tencent

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

Mistral AI
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Hy3 and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
Tencent
Hy3
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Hy3 vs Ministral 3 (14B Base 2512).

Which is better, Hy3 or Ministral 3 (14B Base 2512)?

Hy3 (Tencent) and Ministral 3 (14B Base 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Hy3 compare to Ministral 3 (14B Base 2512) in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the main differences between Hy3 and Ministral 3 (14B Base 2512)?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Ministral 3 (14B Base 2512)?

Hy3 is developed by Tencent and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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