Ministral 3 (8B Reasoning 2512) vs Qwen2.5-Omni-7B Comparison

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (8B Reasoning 2512) outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Ministral 3 (8B Reasoning 2512) significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

1.0B diff

Ministral 3 (8B Reasoning 2512) has 1.0B more parameters than Qwen2.5-Omni-7B, making it 14.3% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
7.0B
Qwen2.5-Omni-7B

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (8B Reasoning 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 (8B Reasoning 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 (8B Reasoning 2512)

Apache 2.0

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Reasoning 2512) was released on 2025-12-04, while Qwen2.5-Omni-7B was released on 2025-03-27.

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

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

3 months ago

8mo newer
Qwen2.5-Omni-7B

Mar 27, 2025

11 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

Larger context window (262,100 tokens)
Higher GPQA score (66.8% vs 30.8%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (8B Reasoning 2512)
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B