Gemma 2 9B: Benchmarks, Pricing & Context Window
Gemma 2 9B is a language model from Google, released in June 2024.
Gemma 2 9B IT is an instruction-tuned version of Google's Gemma 2 9B base model. It was trained on 8 trillion tokens of web data, code, and math content. The model features sliding window attention, logit soft-capping, and knowledge
Gemma 2 9B benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Gemma 2 9B across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Gemma 2 9B holds up as conversations get longer.
Quality Tracker
Gemma 2 9B Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Tue Sep 15 2026Gemma 2 9B model size
Gemma 2 9B has 9.2 billion parameters and was trained on 8 trillion tokens. See how it compares to other models in the same parameter range.
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Gemma 2 9B latency
Gemma 2 9B time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Gemma 2 9B examples
Recent arena outputs from Gemma 2 9B, picked from the highest-ranked matchups.
Gemma 2 9B license
Gemma 2 9B is released under the Gemma license, which permits commercial use, has 9.2B parameters.
- License
- Gemma
- Commercial use allowed
- Parameters
- 9.2B
Google Gemma Terms of Use
Gemma 2 9B resources
Official sources for Gemma 2 9B: provider documentation, official playground, paper or system card, official launch post.
Gemma 2 9B vs other models
The most-compared alternatives to Gemma 2 9B are GPT-4, Command R+, Claude 3 Haiku. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Gemma 2 9B
Models ranked just above and below Gemma 2 9B by LLM Stats score.
FAQ
Common questions about Gemma 2 9B.