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DeepSeek-R1 vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Llama 4 Maverick offers 1.7M more tokens in context window than DeepSeek-R1. Llama 4 Maverick is $1.97 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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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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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
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
Input:$0.55
Output:$2.19
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Llama 4 Maverick
Input:$0.17
Output:$0.60($1.97 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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Llama 4 Maverick
Avg Score:0.0%
Providers:7