Model Comparison

Llama 4 Maverick vs Qwen2.5-Coder 7B Instruct

Llama 4 Maverick significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 4 Maverick outperforms in 4 benchmarks (LiveCodeBench, MATH, MMLU, MMLU-Pro), while Qwen2.5-Coder 7B Instruct is better at 1 benchmark (MBPP).

Llama 4 Maverick significantly outperforms across most benchmarks.

Fri Apr 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
Fri Apr 17 2026 • llm-stats.com
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

393.0B diff

Llama 4 Maverick has 393.0B more parameters than Qwen2.5-Coder 7B Instruct, making it 5614.3% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct
7.0Bparameters
400.0B
Llama 4 Maverick
7.0B
Qwen2.5-Coder 7B 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-Coder 7B Instruct
Input- tokens
Output- tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Qwen2.5-Coder 7B 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-Coder 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen2.5-Coder 7B 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-Coder 7B 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-Coder 7B Instruct was released on 2024-09-19.

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

Llama 4 Maverick

Apr 5, 2025

1.0 years ago

6mo newer
Qwen2.5-Coder 7B Instruct

Sep 19, 2024

1.6 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

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Key Takeaways

Meta
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher LiveCodeBench score (43.4% vs 18.2%)
Higher MATH score (61.2% vs 46.6%)
Higher MMLU score (85.5% vs 67.6%)
Higher MMLU-Pro score (80.5% vs 40.1%)
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MBPP score (83.5% vs 77.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 7B Instruct

FAQ

Common questions about Llama 4 Maverick vs Qwen2.5-Coder 7B Instruct

Llama 4 Maverick significantly outperforms across most benchmarks. Llama 4 Maverick is made by Meta and Qwen2.5-Coder 7B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. Qwen2.5-Coder 7B Instruct scores HumanEval: 88.4%, GSM8k: 83.9%, MBPP: 83.5%, HellaSwag: 76.8%, Winogrande: 72.9%.
Llama 4 Maverick supports 1.0M tokens and Qwen2.5-Coder 7B Instruct 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 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.
Llama 4 Maverick is developed by Meta and Qwen2.5-Coder 7B Instruct is developed by Alibaba Cloud / Qwen Team.