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Ministral 3 (3B Base 2512) vs Qwen2.5-Omni-7B

Ministral 3 (3B Base 2512) significantly outperforms across most benchmarks.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ministral 3 (3B Base 2512) outperforms in 1 benchmarks (MMLU-Redux), while Qwen2.5-Omni-7B is better at 0 benchmarks. Ministral 3 (3B Base 2512) significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Ministral 3 (3B Base 2512)

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen2.5-Omni-7B

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Dec 2025
Mar 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (3B Base 2512) outperforms in 1 benchmarks (MMLU-Redux), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Ministral 3 (3B Base 2512) significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.0B diff

Qwen2.5-Omni-7B has 4.0B more parameters than Ministral 3 (3B Base 2512), making it 133.3% larger.

Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
3.0B
Ministral 3 (3B Base 2512)
7.0B
Qwen2.5-Omni-7B

Input Capabilities

Supported data types and modalities

Both Ministral 3 (3B Base 2512) and Qwen2.5-Omni-7B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

Qwen2.5-Omni-7B

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.

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Qwen2.5-Omni-7B was released on 2025-03-27.

Ministral 3 (3B Base 2512) is 8 months newer than Qwen2.5-Omni-7B.

Ministral 3 (3B Base 2512)

Dec 4, 2025

8 months ago

8mo newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.4 years 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

Judge for yourself.

Run your own prompts against Ministral 3 (3B Base 2512) and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Ministral 3 (3B Base 2512)
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Qwen2.5-Omni-7B.

Which is better, Ministral 3 (3B Base 2512) or Qwen2.5-Omni-7B?

Ministral 3 (3B Base 2512) significantly outperforms across most benchmarks. Ministral 3 (3B Base 2512) is made by Mistral AI and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Ministral 3 (3B Base 2512) compare to Qwen2.5-Omni-7B in benchmarks?

Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

Who makes Ministral 3 (3B Base 2512) and Qwen2.5-Omni-7B?

Ministral 3 (3B Base 2512) is developed by Mistral AI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.