Model Comparison

Llama 4 Maverick vs Qwen2.5 14B InstructWhich is better in 2026?

Llama 4 Maverick has a slight edge in benchmark performance.

Verdict: Llama 4 Maverick vs Qwen2.5 14B Instruct — which is better?

Llama 4 Maverick (by Meta) and Qwen2.5 14B Instruct (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 4 Maverick outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 2 benchmarks (MATH, MBPP). Llama 4 Maverick has a slight edge in benchmark performance.

Choose Llama 4 Maverick if…

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Choose Qwen2.5 14B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 4 Maverick outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 2 benchmarks (MATH, MBPP).

Llama 4 Maverick has a slight edge in benchmark performance.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

385.3B diff

Llama 4 Maverick has 385.3B more parameters than Qwen2.5 14B Instruct, making it 2621.1% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
400.0B
Llama 4 Maverick
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 4 Maverick

Text
Images
Audio
Video

Qwen2.5 14B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen2.5 14B Instruct uses Apache 2.0.

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

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Qwen2.5 14B Instruct was released on 2024-09-19.

Llama 4 Maverick is 7 months newer than Qwen2.5 14B Instruct.

Llama 4 Maverick

Apr 5, 2025

1.3 years ago

6mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.8 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?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (69.8% vs 45.5%)
Higher MMLU score (85.5% vs 79.7%)
Higher MMLU-Pro score (80.5% vs 63.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MATH score (80.0% vs 61.2%)
Higher MBPP score (82.0% vs 77.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 4 Maverick and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Llama 4 Maverick
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Llama 4 Maverick vs Qwen2.5 14B Instruct.

Which is better, Llama 4 Maverick or Qwen2.5 14B Instruct?

Llama 4 Maverick has a slight edge in benchmark performance. Llama 4 Maverick is made by Meta and Qwen2.5 14B Instruct 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 4 Maverick compare to Qwen2.5 14B Instruct in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for Llama 4 Maverick and Qwen2.5 14B Instruct?

Llama 4 Maverick supports 1.0M tokens and Qwen2.5 14B Instruct 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 4 Maverick and Qwen2.5 14B Instruct?

Key differences include multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and Qwen2.5 14B Instruct?

Llama 4 Maverick is developed by Meta and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.

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