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Llama 4 Maverick vs Qwen2.5-Coder 32B Instruct
Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 8.8% 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. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
6 months newer
Qwen2.5-Coder 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
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Qwen2.5-Coder 32B Instruct
Input:$0.09
Output:$0.09($0.59 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 4 Maverick
Average Score:69.6%(+8.8%)
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Qwen2.5-Coder 32B Instruct
Average Score:60.9%
Provider Availability & Performance
Available providers and their performance metrics
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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
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Llama 4 Maverick
Avg Score:69.6%(+8.8%)
Providers:7
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Qwen2.5-Coder 32B Instruct
Avg Score:60.9%
Providers:4