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DeepSeek R1 Distill Llama 70B vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.8% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than DeepSeek R1 Distill Llama 70B. 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-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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 Llama 70B
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 Llama 70B
Input:$0.10
Output:$0.40($0.27 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 Llama 70B
Average Score:61.3%(+4.8%)
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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 Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Llama 4 Maverick
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DeepSeek R1 Distill Llama 70B
Avg Score:61.3%(+4.8%)
Providers:1
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Llama 4 Maverick
Avg Score:56.6%
Providers:7