Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Tested on 6 benchmarks · BenchGecko score 4.5. Top scores: Chatbot Arena Elo — Overall (1303.2%), Dtbench (18.2%), OTIS Mock AIME 2024-2025 (7.4%).
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.
Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.
Chatbot Arena overall Elo rating. Crowdsourced human preference ranking from blind head-to-head comparisons across all topics.
- Typemultimodal
- Context131K tokens (~66 books)
- ReleasedMar 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
Key facts · as of 2026-10-05
- Gemma 3 4B by Google DeepMind. BenchGecko score 4.5, rank 309 of 312 scored models (normalized average of public benchmark scores).
- List price $0.0500 input · $0.10 output per 1M tokens (as of 2026-10-05).
- Sold by 1 provider (as of 2026-10-05): DeepInfra (bf16) $0.0500 in / $0.10 out.
How to cite · data as of 2026-10-05
Gemma 3 4B · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/gemma-3-4b-it
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP