Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
Tested on 19 benchmarks · BenchGecko score 47.7. Top scores: Chatbot Arena Elo · Overall (1437.5%), Chatbot Arena Elo · Coding (1358.5%), OTIS Mock AIME 2024-2025 (82.2%).
Unusual and adversarial machine learning challenges. Tests robustness of reasoning about edge cases in ML systems.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.
Tactical chess puzzles testing pattern recognition and multi-move calculation. Measures strategic reasoning ability.
- Typemultimodal
- Context262K tokens (~131 books)
- ReleasedApr 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
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Qwen3 32B · Alibaba QwenLlama 3.3 70B Instruct · MetaQwen3 Max · Alibaba QwenGrok-3 mini · xAIR1 Distill Llama 70B · DeepSeekKey facts · as of 2026-11-11
- Gemma 4 26B A4B by Google DeepMind. BenchGecko score 47.7, rank 169 of 326 scored models (normalized average of public benchmark scores).
- List price $0.0800 input · $0.10 output per 1M tokens (as of 2026-11-11).
- Sold by 15 providers (as of 2026-11-11): PrimeIntellect (bf16) $0.0110 in / $0.0340 out · Darkbloom $0.0400 in / $0.15 out · DekaLLM (bf16) $0.0600 in / $0.33 out · AkashML (fp4) $0.0700 in / $0.24 out · DeepInfra (fp8) $0.0700 in / $0.34 out · and 10 more. Every provider
- Gecko Tests: Who Are You B (Knows who made it) · Tokenizer Tax B (44% more tokens outside English).
How to cite · data as of 2026-11-11
Gemma 4 26B A4B · benchmarks, pricing and providers. BenchGecko, data as of 2026-11-11. https://benchgecko.ai/model/gemma-4-26b-a4b-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