+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.3 70B Instruct vs Ministral 8B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 32.4% higher average benchmark score. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
+
+
+
+
Mistral AI
Ministral 8B was developed as a compact yet capable model from Mistral AI, designed to provide strong instruction-following with just 8 billion parameters. Built for applications requiring efficient deployment while maintaining reliable performance, it represents Mistral's smallest production-ready offering.
1 month newer
Ministral 8B Instruct
Mistral AI
2024-10-16
Llama 3.3 70B Instruct
Meta
2024-12-06
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Llama 3.3 70B Instruct
Input:$0.20
Output:$0.20
+
+
+
+
Ministral 8B Instruct
Input:$0.10
Output:$0.10($0.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
+
+
+
+
Llama 3.3 70B Instruct
Average Score:83.8%(+32.4%)
+
+
+
+
Ministral 8B Instruct
Average Score:51.4%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.3 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2220 tok/s
Latency: 0.65ms
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
Fireworks
Throughput: 197 tok/s
Latency: 0.65ms
Groq
+
+
+
+
Llama 3.3 70B Instruct
Avg Score:83.8%(+32.4%)
Providers:9
+
+
+
+
Ministral 8B Instruct
Avg Score:51.4%
Providers:1