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DeepSeek-R1 vs DeepSeek-V3 0324
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 offers 65.5K more tokens in context window than DeepSeek-R1. DeepSeek-V3 0324 is $1.32 cheaper per million tokens. DeepSeek-R1 is available on 5 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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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
2 months newer
DeepSeek-R1
DeepSeek
2025-01-20
DeepSeek-V3 0324
DeepSeek
2025-03-25
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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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DeepSeek-V3 0324
Input:$0.28
Output:$1.14($1.32 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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DeepSeek-V3 0324
Avg Score:0.0%
Providers:1