Llama 3.3 Instruct 70B: Intelligence, Performance & Price Analysis
Analysis of Meta's Llama 3.3 Instruct 70B and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more. Click on any model to compare API providers for that model. For more details including relating to our methodology, see our FAQs.
Comparison Summary
Intelligence:
Llama 3.3 70B is of higher quality compared to average, with a MMLU score of 0.713 and a Intelligence Index across evaluations of 41.
Price:Llama 3.3 70B is cheaper compared to average with a price of $0.62 per 1M Tokens (blended 3:1).
Llama 3.3 70B Input token price: $0.59, Output token price: $0.70 per 1M Tokens.
Speed:Llama 3.3 70B Input token price: $0.59, Output token price: $0.70 per 1M Tokens.
Llama 3.3 70B is faster compared to average, with a output speed of 119.8 tokens per second.
Latency:Llama 3.3 70B has a lower latency compared to average, taking 0.53s to receive the first token (TTFT).
Context Window:Llama 3.3 70B has a smaller context windows than average, with a context window of 130k tokens.
Highlights
Intelligence
Artificial Analysis Intelligence Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Comparisons to Llama 3.3 70B
o1
GPT-4o (Nov '24)
GPT-4o mini
o3-mini (high)
o1-pro
Llama 3.1 Instruct 8B
Gemini 2.0 Flash (Feb '25)
Gemma 3 27B Instruct
Gemini 2.5 Pro Experimental (Mar' 25)
Claude 3.7 Sonnet (Standard)
Claude 3.7 Sonnet (Extended Thinking)
Mistral Large 2 (Nov '24)
Mistral Small 3.1
DeepSeek R1
DeepSeek V3 0324 (Mar' 25)
Grok 3 Reasoning Beta
Grok 3
Nova Pro
Nova Micro
Command A
QwQ 32B
DeepSeek V3
Further details