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o1 vs Qwen3-235B-A22B
Comprehensive side-by-side LLM comparison
o1 offers 29.7K more tokens in context window than Qwen3-235B-A22B. Qwen3-235B-A22B is $74.00 cheaper per million tokens. o1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
OpenAI o1, released by OpenAI in December 2024, is a reasoning-focused large language model that applies extended chain-of-thought processing before generating responses. It features a 200K token context window and native image understanding, demonstrating strong performance on STEM benchmarks requiring multi-step reasoning. o1 targets mathematics, science, and coding tasks where careful deliberation over the problem produces more accurate outputs than direct generation.
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Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
4 months newer
o1
OpenAI
2024-12-05
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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Qwen3-235B-A22B
Input:$0.25
Output:$0.75($74.00 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
o1
2023-10
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o1
1 providers
OpenAI
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Qwen3-235B-A22B
1 providers
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o1
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B
Avg Score:0.0%
Providers:1