Gemini 1.5 Pro (Sep '24): Intelligence, Performance & Price Analysis
Analysis of Google's Gemini 1.5 Pro (Sep '24) 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:
Gemini 1.5 Pro (Sep) is of higher quality compared to average, with a MMLU score of 0.75 and a Intelligence Index across evaluations of 45.
Price:Gemini 1.5 Pro (Sep) is cheaper compared to average with a price of $2.19 per 1M Tokens (blended 3:1).
Gemini 1.5 Pro (Sep) Input token price: $1.25, Output token price: $5.00 per 1M Tokens.
Speed:Gemini 1.5 Pro (Sep) Input token price: $1.25, Output token price: $5.00 per 1M Tokens.
Gemini 1.5 Pro (Sep) is slower compared to average, with a output speed of 93.2 tokens per second.
Latency:Gemini 1.5 Pro (Sep) has a lower latency compared to average, taking 0.50s to receive the first token (TTFT).
Context Window:Gemini 1.5 Pro (Sep) has a larger context windows than average, with a context window of 2.0M 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 Gemini 1.5 Pro (Sep)
o1
GPT-4o (Nov '24)
GPT-4o mini
o3-mini (high)
o1-pro
Llama 3.3 Instruct 70B
DeepSeek V3 (Mar' 25)
Llama 3.1 Instruct 8B
Gemini 2.0 Pro Experimental (Feb '25)
Gemini 2.0 Flash (Feb '25)
Gemma 3 27B Instruct
Claude 3.7 Sonnet (Extended Thinking)
Claude 3.7 Sonnet (Standard)
Mistral Large 2 (Nov '24)
Mistral Small 3.1
DeepSeek R1
DeepSeek V3
Grok 3
Grok 3 Reasoning Beta
Nova Pro
Nova Micro
Command A
QwQ 32B
Further details