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Devstral Medium vs GLM-4.5V
Comprehensive side-by-side LLM comparison
Devstral Medium offers 59.4K more tokens in context window than GLM-4.5V. Both models have similar pricing. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Zhipu AI
GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
1 month newer
Devstral Medium
Mistral AI
2025-07-10
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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Devstral Medium
Input:$0.40
Output:$2.00($0.40 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Devstral Medium
Average Score:61.6%(+61.6%)
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GLM-4.5V
Average Score:0.0%
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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GLM-4.5V
2 providers
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Devstral Medium
Avg Score:61.6%(+61.6%)
Providers:1
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GLM-4.5V
Avg Score:0.0%
Providers:2