Google: Gemma 4 26B A4B
Analysis Summary
Google: Gemma 4 26B A4B sits in the Specialist tier on our leaderboard, ranked #82 of 525 published models on overall intelligence. At $0.060 input and $0.330 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and vision.
Editorial notes
Google's Gemma 4 26B A4B is an exceptionally cost-effective open-weight model with multimodal capabilities (text, image, and video input), solid instruction-following, and a large 262K context window ā making it a strong choice for budget-conscious businesses handling content and SEO tasks; its coding and agentic capabilities are more limited, so it's best suited to lighter workloads rather than complex technical applications.
Assessed April 24, 2026
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Performance Profile
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 ā delivering near-31B quality at..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemma 4 26B A4B stack up?
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Model Information
| OpenRouter ID |
google/gemma-4-26b-a4b-it
|
| Provider | |
| Release Date | April 3, 2026 |
| Context Length | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.06 | $0.000060 |
| Output | $0.33 | $0.000330 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 25, 2026 8:38 pm