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Model Comparison

Llama 3.1 8B Instruct vs Qwen2.5-Omni-7BWhich is better in 2026?

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

Verdict: Llama 3.1 8B Instruct vs Qwen2.5-Omni-7B — which is better?

Llama 3.1 8B Instruct (by Meta) and Qwen2.5-Omni-7B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama 3.1 8B Instruct outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5-Omni-7B is better at 2 benchmarks (GPQA, HumanEval). Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.

Choose Llama 3.1 8B Instruct if…

  • you want predictable pricing at $0.03/M input and $0.03/M output

Choose Qwen2.5-Omni-7B if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 8B Instruct outperforms in 1 benchmarks (MMLU-Pro), while Qwen2.5-Omni-7B is better at 2 benchmarks (GPQA, HumanEval).

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

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

1.0B diff

Llama 3.1 8B Instruct has 1.0B more parameters than Qwen2.5-Omni-7B, making it 14.3% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
8.0B
Llama 3.1 8B Instruct
7.0B
Qwen2.5-Omni-7B

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

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

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community 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.

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 8 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.0 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.4 years ago

8mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2.5-Omni-7B's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen2.5-Omni-7B

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Higher MMLU-Pro score (48.3% vs 47.0%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher GPQA score (30.8% vs 30.4%)
Higher HumanEval score (78.7% vs 72.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen2.5-Omni-7B.

Which is better, Llama 3.1 8B Instruct or Qwen2.5-Omni-7B?

Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks. Llama 3.1 8B Instruct is made by Meta 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 Llama 3.1 8B Instruct compare to Qwen2.5-Omni-7B in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen2.5-Omni-7B?

Llama 3.1 8B Instruct supports 131K 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.

What are the main differences between Llama 3.1 8B Instruct and Qwen2.5-Omni-7B?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Qwen2.5-Omni-7B?

Llama 3.1 8B Instruct is developed by Meta and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.