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DeepSeek R1 Distill Qwen 32B vs Grok-1.5V
Comprehensive side-by-side LLM comparison
Grok-1.5V leads with 18.8% higher average benchmark score. Grok-1.5V supports multimodal inputs. Overall, Grok-1.5V is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents xAI's latest advancement in AI technology.
9 months newer
Grok-1.5V
xAI
2024-04-12
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:27.0%
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Grok-1.5V
Average Score:45.7%(+18.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Grok-1.5V
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DeepSeek R1 Distill Qwen 32B
Avg Score:27.0%
Providers:1
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Grok-1.5V
Avg Score:45.7%(+18.8%)
Providers:0