Gemma 2 9B: Quality, Performance & Price Analysis
Analysis of Google's Gemma 2 9B 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
Quality:
Gemma 2 9B is of lower quality compared to average, with a MMLU score of 0.713 and a Quality Index across evaluations of 46.
Price:Gemma 2 9B is cheaper compared to average with a price of $0.13 per 1M Tokens (blended 3:1).
Gemma 2 9B Input token price: $0.13, Output token price: $0.15 per 1M Tokens.
Speed:Gemma 2 9B Input token price: $0.13, Output token price: $0.15 per 1M Tokens.
Gemma 2 9B is faster compared to average, with a output speed of 160.4 tokens per second.
Latency:Gemma 2 9B has a lower latency compared to average, taking 0.36s to receive the first token (TTFT).
Context Window:Gemma 2 9B has a smaller context windows than average, with a context window of 8.2k tokens.
Highlights
Quality
Artificial Analysis Quality Index; Higher is better
Speed
Output Tokens per Second; Higher is better
Price
USD per 1M Tokens; Lower is better
Parallel Queries:
Prompt Length:
Note: Long prompts not supported as a context window of at least 10k tokens is required
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