DeepSeek deepseek-v3-0324
Rank #9
Power: 6199.77
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💡 What is Model Power?

Model Power = how strong and reliable a model is, based on real people's votes. It combines performance scores with user confidence to give you the most accurate assessment of each model's capabilities.

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Discover which model is the best and most suitable for your specific use cases. Our comprehensive analysis of DeepSeek deepseek-v3-0324 text generation LLMs reveals the true performance landscape, powered by millions of real user votes and LMarena Pro ranking system. Whether you're building AI applications, content creation, or research projects, find your perfect match from the world's most advanced language models.

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📊 Comparison with Top 10 Models

This section compares Rank 9 (deepseek-v3-0324) with the top 10 best performing models. The coefficient shows the performance difference: Positive coefficient = Better than Rank 9, Negative coefficient = Worse than Rank 9. Coefficient = (Model Power - Rank 9 Power) / Rank 9 Power × 100

o3-2025-04-16 OpenAI
According to user voting, the o3-2025-04-16 model is 7.11% percentage better for text generation compared to deepseek-v3-0324.
Rank #1
+7.11%
gemini-2.5-pro Google
According to user voting, the gemini-2.5-pro model is 6.32% percentage better for text generation compared to deepseek-v3-0324.
Rank #2
+6.32%
chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 5.71% percentage better for text generation compared to deepseek-v3-0324.
Rank #3
+5.71%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 3.13% percentage better for text generation compared to deepseek-v3-0324.
Rank #4
+3.13%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 2.87% percentage better for text generation compared to deepseek-v3-0324.
Rank #5
+2.87%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 1.13% percentage better for text generation compared to deepseek-v3-0324.
Rank #6
+1.13%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 1.06% percentage better for text generation compared to deepseek-v3-0324.
Rank #7
+1.06%
gpt-4.1-2025-04-14 OpenAI
According to user voting, the gpt-4.1-2025-04-14 model is 0.48% percentage better for text generation compared to deepseek-v3-0324.
Rank #8
+0.48%
RANK 9
deepseek-v3-0324 DeepSeek
This is the reference model (Rank #9) - all comparisons are relative to this model
Rank #9
0.00%
o1-preview OpenAI
According to user voting, the o1-preview model is 0.55% percentage worse for text generation compared to deepseek-v3-0324.
Rank #10
-0.55%
Compare with deepseek-v3-0324 similar text generation LLMs

📊 Comparison with Similar Performance Models

This section compares Rank 9 with the 5 best models above it (Ranks 4-8) and 5 worst models below it (Ranks 10-14). The coefficient shows the performance difference relative to Rank 9.

gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 3.13% percentage better for text generation compared to deepseek-v3-0324.
Rank #4
+3.13%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 2.87% percentage better for text generation compared to deepseek-v3-0324.
Rank #5
+2.87%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 1.13% percentage better for text generation compared to deepseek-v3-0324.
Rank #6
+1.13%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 1.06% percentage better for text generation compared to deepseek-v3-0324.
Rank #7
+1.06%
gpt-4.1-2025-04-14 OpenAI
According to user voting, the gpt-4.1-2025-04-14 model is 0.48% percentage better for text generation compared to deepseek-v3-0324.
Rank #8
+0.48%
RANK 9
deepseek-v3-0324 DeepSeek
This is the reference model (Rank #9) - all comparisons are relative to this model
Rank #9
0.00%
o1-preview OpenAI
According to user voting, the o1-preview model is 0.55% percentage worse for text generation compared to deepseek-v3-0324.
Rank #10
-0.55%
claude-3-5-sonnet-20241022 Anthropic
According to user voting, the claude-3-5-sonnet-20241022 model is 1.60% percentage worse for text generation compared to deepseek-v3-0324.
Rank #11
-1.60%
gpt-4o-mini-2024-07-18 OpenAI
According to user voting, the gpt-4o-mini-2024-07-18 model is 2.40% percentage worse for text generation compared to deepseek-v3-0324.
Rank #12
-2.40%
claude-3-5-haiku-20241022 Anthropic
According to user voting, the claude-3-5-haiku-20241022 model is 3.21% percentage worse for text generation compared to deepseek-v3-0324.
Rank #13
-3.21%
gpt-4o-2024-05-13 OpenAI
According to user voting, the gpt-4o-2024-05-13 model is 4.02% percentage worse for text generation compared to deepseek-v3-0324.
Rank #14
-4.02%