+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Llama 70B vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Both models have similar pricing. 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
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
6 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek R1 Distill Llama 70B
Input:$0.10
Output:$0.40
+
+
+
+
Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Mistral NeMo Instruct
+
+
+
+
DeepSeek R1 Distill Llama 70B
Avg Score:0.0%
Providers:1
+
+
+
+
Mistral NeMo Instruct
Avg Score:0.0%
Providers:2