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GPT-4 Turbo vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 1.2% higher average benchmark score. Qwen3 235B A22B offers 123.9K more tokens in context window than GPT-4 Turbo. Qwen3 235B A22B is $39.80 cheaper per million tokens. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
1 year newer
GPT-4 Turbo
OpenAI
2024-04-09
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($39.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4 Turbo
Average Score:73.9%(+1.2%)
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Qwen3 235B A22B
Average Score:72.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:73.9%(+1.2%)
Providers:2
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Qwen3 235B A22B
Avg Score:72.7%
Providers:4