+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 4 Maverick vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 32B Instruct leads with 1.8% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Qwen2.5-Coder 32B Instruct. Qwen2.5-Coder 32B Instruct is $0.59 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 4 Maverick
Meta
2025-04-05
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Llama 4 Maverick
Input:$0.17
Output:$0.60
+
+
+
+
Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.59 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
+
+
+
+
Llama 4 Maverick
Average Score:40.6%
+
+
+
+
Qwen2.5-Coder 32B Instruct
Average Score:42.3%(+1.8%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 4 Maverick
7 providers
DeepInfra
Throughput: 83.59 tok/s
Latency: 0.38ms
Fireworks
Throughput: 63.03 tok/s
Latency: 0.62ms
Groq
Throughput: 307.3 tok/s
Latency: 0.27ms
Lambda
Throughput: 93.69 tok/s
Latency: 0.65ms
Novita
+
+
+
+
Llama 4 Maverick
Avg Score:40.6%
Providers:7
+
+
+
+
Qwen2.5-Coder 32B Instruct
Avg Score:42.3%(+1.8%)
Providers:4