Model Comparison

Grok-2 vs Qwen2.5-Omni-7B

Grok-2 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Grok-2 outperforms in 6 benchmarks (GPQA, HumanEval, MATH, MathVista, MMLU-Pro, MMMU), while Qwen2.5-Omni-7B is better at 1 benchmark (DocVQA).

Grok-2 significantly outperforms across most benchmarks.

Tue Apr 21 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 Apr 21 2026 • llm-stats.com
xAI
Grok-2
Input tokens$2.00
Output tokens$10.00
Best providerxAI
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→

Context Window

Maximum input and output token capacity

Only Grok-2 specifies input context (128,000 tokens). Only Grok-2 specifies output context (8,000 tokens).

xAI
Grok-2
Input128,000 tokens
Output8,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Grok-2 and Qwen2.5-Omni-7B support multimodal inputs.

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

Grok-2

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-2 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-2

Proprietary

Closed source

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-2 was released on 2024-08-13, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 8 months newer than Grok-2.

Grok-2

Aug 13, 2024

1.7 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.1 years ago

7mo 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
Larger context window (128,000 tokens)
Higher GPQA score (56.0% vs 30.8%)
Higher HumanEval score (88.4% vs 78.7%)
Higher MATH score (76.1% vs 71.5%)
Higher MathVista score (69.0% vs 67.9%)
Higher MMLU-Pro score (75.5% vs 47.0%)
Higher MMMU score (66.1% vs 59.2%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher DocVQA score (95.2% vs 93.6%)

Detailed Comparison

AI Model Comparison Table
Feature
xAI
Grok-2
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Grok-2 vs Qwen2.5-Omni-7B

Grok-2 significantly outperforms across most benchmarks. Grok-2 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-2 scores DocVQA: 93.6%, HumanEval: 88.4%, MMLU: 87.5%, MATH: 76.1%, MMLU-Pro: 75.5%. Qwen2.5-Omni-7B scores DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%, ChartQA: 85.3%.
Grok-2 supports 128K tokens and Qwen2.5-Omni-7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Grok-2 is developed by xAI and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.