+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 405B Instruct vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 4.7% higher average benchmark score. Llama 3.1 70B Instruct is $1.38 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
+
+
+
+
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
Launched on the same date
Llama 3.1 405B Instruct
Meta
2024-07-23
Llama 3.1 70B Instruct
Meta
2024-07-23
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
+
+
+
+
Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($1.38 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
+
+
+
+
Llama 3.1 405B Instruct
Average Score:77.7%(+4.7%)
+
+
+
+
Llama 3.1 70B Instruct
Average Score:73.0%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
+
+
+
+
Llama 3.1 405B Instruct
Avg Score:77.7%(+4.7%)
Providers:8
+
+
+
+
Llama 3.1 70B Instruct
Avg Score:73.0%
Providers:9