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Llama 4 Maverick vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Llama 4 Maverick offers 1.7M more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $0.57 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.
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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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
24 days newer
Llama 4 Maverick
Meta
2025-04-05
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.57 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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Llama 4 Maverick
Average Score:72.9%
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Qwen3 235B A22B
Average Score:73.0%(+0.1%)
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:72.9%
Providers:7
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Qwen3 235B A22B
Avg Score:73.0%(+0.1%)
Providers:4