DeepSeek R1 vs DeepSeek V3 (March 2024)

Compare DeepSeek R1 and DeepSeek V3 (March 2024), both from DeepSeek, in 16 community votes, deepseek v3 (march 2024) wins 82% of head-to-head duels, context windows of 128K vs 128K, tested across 53 shared challenges. Updated April 2026.

Which is better, DeepSeek R1 or DeepSeek V3 (March 2024)?

DeepSeek V3 (March 2024) is the better choice overall, winning 82% of 16 blind community votes on Rival. DeepSeek R1 costs $0.55/M input tokens vs $0.14/M for DeepSeek V3 (March 2024). Context windows: 128K vs 128K tokens. Compare their real outputs side by side below.

Key Differences Between DeepSeek R1 and DeepSeek V3 (March 2024)

DeepSeek R1 is made by deepseek while DeepSeek V3 (March 2024) is from deepseek. DeepSeek R1 has a 128K token context window compared to DeepSeek V3 (March 2024)'s 128K. On pricing, DeepSeek R1 costs $0.55/M input tokens vs $0.14/M for DeepSeek V3 (March 2024). In community voting, In 16 community votes, DeepSeek V3 (March 2024) wins 82% of head-to-head duels.

In 16 community votes, DeepSeek V3 (March 2024) wins 82% of head-to-head duels. DeepSeek V3 (March 2024) leads in Web Design, Reasoning. Based on blind community voting from the Rival open dataset of 16+ human preference judgments for this pair.

Web Design: DeepSeek V3 (March 2024) wins 88% of votes
Reasoning: DeepSeek V3 (March 2024) wins 100% of votes
Our Verdict
DeepSeek V3 (March 2024)
DeepSeek V3 (March 2024)Winner
DeepSeek R1
DeepSeek R1Runner-up

Pick DeepSeek V3 (March 2024). In 16 blind votes, DeepSeek V3 (March 2024) wins 82% of the time. That's not luck.

DeepSeek V3 (March 2024) particularly excels in Reasoning, Web Design. DeepSeek V3 (March 2024) is 7.8x cheaper per token — worth considering if cost matters.

Clear winner
Writing DNA

Style Comparison

Similarity
87%

DeepSeek V3 (March 2024) uses 5.9x more emoji

DeepSeek R1
DeepSeek V3 (March 2024)
62%Vocabulary58%
15wSentence Length18w
0.52Hedging0.73
8.0Bold7.5
5.7Lists7.6
0.04Emoji0.26
0.62Headings1.60
0.28Transitions0.08
Based on 22 + 16 text responses
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