+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.1 8B Instruct vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 6.1% higher average benchmark score. Llama 3.1 8B Instruct offers 6.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.1 8B Instruct is $0.69 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
+
+
+
+
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Llama 3.2 90B Instruct
Meta
2024-09-25
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($0.69 cheaper)
+
+
+
+
Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
+
+
+
+
Llama 3.1 8B Instruct
Average Score:38.1%(+6.1%)
+
+
+
+
Llama 3.2 90B Instruct
Average Score:32.0%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Llama 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
+
+
+
+
Llama 3.1 8B Instruct
Avg Score:38.1%(+6.1%)
Providers:9
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:32.0%
Providers:5