Model Comparison

Grok-1.5 vs Qwen2.5-Omni-7B

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Grok-1.5 outperforms in 3 benchmarks (GPQA, GSM8k, MMLU-Pro), while Qwen2.5-Omni-7B is better at 5 benchmarks (DocVQA, HumanEval, MATH, MathVista, MMMU).

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Fri May 01 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
Fri May 01 2026 • llm-stats.com
xAI
Grok-1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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→

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Grok-1.5 does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-1.5

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5 is licensed under a proprietary license, while Qwen2.5-Omni-7B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Grok-1.5

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 12 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.1 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.1 years ago

12mo 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

xAI
Higher GPQA score (35.9% vs 30.8%)
Higher GSM8k score (90.0% vs 88.7%)
Higher MMLU-Pro score (51.0% vs 47.0%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Has open weights
Higher DocVQA score (95.2% vs 85.6%)
Higher HumanEval score (78.7% vs 74.1%)
Higher MATH score (71.5% vs 50.6%)
Higher MathVista score (67.9% vs 52.8%)
Higher MMMU score (59.2% vs 53.6%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-1.5
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Grok-1.5 vs Qwen2.5-Omni-7B

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks. Grok-1.5 is made by xAI 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.
Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.
Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Grok-1.5 is developed by xAI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.