+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Grok-4 Heavy
Comprehensive side-by-side LLM comparison
Grok-4 Heavy leads with 22.5% higher average benchmark score. Grok-4 Heavy supports multimodal inputs. Overall, Grok-4 Heavy is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
xAI
Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Grok-4 Heavy
xAI
2025-07-09
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:37.1%
+
+
+
+
Grok-4 Heavy
Average Score:59.6%(+22.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Grok-4 Heavy
2024-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Grok-4 Heavy
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:37.1%
Providers:1
+
+
+
+
Grok-4 Heavy
Avg Score:59.6%(+22.5%)
Providers:0