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DeepSeek-R1 vs GLM-4.5V
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 65.5K more tokens in context window than GLM-4.5V. Both models have similar pricing. GLM-4.5V supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
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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.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
GLM-4.5V
Zhipu AI
2025-08-11
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1
Input:$0.55
Output:$2.19($0.06 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
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DeepSeek-R1
Avg Score:0.0%
Providers:5
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GLM-4.5V
Avg Score:0.0%
Providers:2