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GLM-4.5V vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 49.2K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $1.85 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5V was developed as a vision-language variant, designed to understand and reason about both images and text in Chinese and English. Built to extend Zhipu AI's multilingual capabilities into multimodal applications, it enables visual understanding alongside bilingual language processing.
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Alibaba Cloud / Qwen Team
Qwen3 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
20 days newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
GLM-4.5V
Zhipu AI
2025-08-11
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Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80($1.85 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen3-235B-A22B-Instruct-2507
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Qwen3-235B-A22B-Instruct-2507
Avg Score:0.0%
Providers:1