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DeepSeek R1 Distill Qwen 32B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 3.1% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. 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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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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.
2 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18($0.47 cheaper)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:59.7%(+3.1%)
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Llama 4 Maverick
Average Score:56.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama 4 Maverick
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DeepSeek R1 Distill Qwen 32B
Avg Score:59.7%(+3.1%)
Providers:1
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Llama 4 Maverick
Avg Score:56.6%
Providers:7