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

Qwen2.5-Omni-7B leads the LLM Stats Score 4.9 to -6.7.

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

Which is better?

Qwen2.5-Omni-7B leads the overall LLM Stats Score 4.9 to -6.7, ranking #322 overall.

In the 1 individual benchmarks reported for both models, Ministral 3 (3B Base 2512) wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ministral 3 (3B Base 2512)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen2.5-Omni-7B

  • overall performance matters — it scores 4.9 and ranks #322 on LLM Stats

At a glance

The differences that matter most.

Core performance indexes
-6.7
#387
4.9
#322
-6.7
#376
1.1
#336
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (3B Base 2512)
Qwen2.5-Omni-7B
-0.8#311
5.0#285
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ministral 3 (3B Base 2512) · 45 for Qwen2.5-Omni-7B

1 shared

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.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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

Documented input modalities across available providers

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

10 months ago

8mo newer
Qwen2.5-Omni-7B

Mar 27, 2025

1.6 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?

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?

Qwen2.5-Omni-7B leads the LLM Stats Score 4.9 to -6.7. 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 capability indexes, individual benchmarks, pricing, and limits 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%.

What are the main differences between Ministral 3 (3B Base 2512) and Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (-6.7 vs 4.9). See the full comparison above for benchmark-by-benchmark results.

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.