Qwen qwen3-235b-a22b-instruct-2507
Rank #30
Power: 5493.77
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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 Qwen qwen3-235b-a22b-instruct-2507 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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Compare with qwen3-235b-a22b-instruct-2507 best text generation LLMs

📊 Comparison with Top 10 Models

This section compares Rank 30 (qwen3-235b-a22b-instruct-2507) with the top 10 best performing models. The coefficient shows the performance difference: Positive coefficient = Better than Rank 30, Negative coefficient = Worse than Rank 30. Coefficient = (Model Power - Rank 30 Power) / Rank 30 Power × 100

o3-2025-04-16 OpenAI
According to user voting, the o3-2025-04-16 model is 20.88% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #1
+20.88%
gemini-2.5-pro Google
According to user voting, the gemini-2.5-pro model is 19.99% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #2
+19.99%
chatgpt-4o-latest-20250326 OpenAI
According to user voting, the chatgpt-4o-latest-20250326 model is 19.29% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #3
+19.29%
gemini-2.5-flash Google
According to user voting, the gemini-2.5-flash model is 16.38% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #4
+16.38%
grok-3-preview-02-24 xAI
According to user voting, the grok-3-preview-02-24 model is 16.09% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #5
+16.09%
claude-3-7-sonnet-20250219-thinking-32k Anthropic
According to user voting, the claude-3-7-sonnet-20250219-thinking-32k model is 14.13% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #6
+14.13%
claude-opus-4-20250514 Anthropic
According to user voting, the claude-opus-4-20250514 model is 14.05% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #7
+14.05%
gpt-4.1-2025-04-14 OpenAI
According to user voting, the gpt-4.1-2025-04-14 model is 13.40% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #8
+13.40%
deepseek-v3-0324 DeepSeek
According to user voting, the deepseek-v3-0324 model is 12.85% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #9
+12.85%
o1-preview OpenAI
According to user voting, the o1-preview model is 12.23% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #10
+12.23%
Compare with qwen3-235b-a22b-instruct-2507 similar text generation LLMs

📊 Comparison with Similar Performance Models

This section compares Rank 30 with the 5 best models above it (Ranks 25-29) and 5 worst models below it (Ranks 31-30). The coefficient shows the performance difference relative to Rank 30.

claude-2.0 Anthropic
According to user voting, the claude-2.0 model is 1.69% percentage worse for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #25
-1.69%
gpt-3.5-turbo-0301 OpenAI
According to user voting, the gpt-3.5-turbo-0301 model is 2.60% percentage worse for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #26
-2.60%
claude-instant-1.2 Anthropic
According to user voting, the claude-instant-1.2 model is 3.51% percentage worse for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #27
-3.51%
gpt-3.5-turbo OpenAI
According to user voting, the gpt-3.5-turbo model is 4.42% percentage worse for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #28
-4.42%
gpt-5-high OpenAI
According to user voting, the gpt-5-high model is 1.60% percentage better for text generation compared to qwen3-235b-a22b-instruct-2507.
Rank #29
+1.60%
RANK 30
qwen3-235b-a22b-instruct-2507 Qwen
This is the reference model (Rank #30) - all comparisons are relative to this model
Rank #30
0.00%