+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Magistral Medium
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 4.9% higher average benchmark score. Magistral Medium supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
+
+
+
+
Mistral AI
Magistral Medium was introduced as a specialized model for advanced reasoning and analytical tasks, designed to handle complex problem-solving scenarios. Built to serve enterprise and professional applications requiring sophisticated reasoning, it represents Mistral's focus on high-quality analytical capabilities.
4 months newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Magistral Medium
Mistral AI
2025-06-10
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
DeepSeek R1 Distill Llama 70B
Average Score:69.8%(+4.9%)
+
+
+
+
Magistral Medium
Average Score:64.9%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Magistral Medium
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Magistral Medium
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:69.8%(+4.9%)
Providers:1
+
+
+
+
Magistral Medium
Avg Score:64.9%
Providers:0