Google: Gemma 4 26B A4B
Analysis Summary
Google's Gemma 4 26B A4B is a sparse mixture-of-experts model with an intelligence index of 31.2 and support for text, image, and video inputs alongside tool use and function calling. At $0.06 input and $0.33 output per million tokens, it is one of the most cost-effective multimodal models available with benchmark data. The 262K context window adds flexibility for longer documents.
However, its coding index of 22.4 and agentic index of 28.6 are low, limiting its usefulness for software engineering or autonomous agent workflows. Its instruction-following and content generation capabilities are more competitive, making it a reasonable choice for structured content tasks, basic tool-augmented pipelines, and multimodal classification at scale.
For businesses prioritising cost and multimodal breadth over raw reasoning or coding power, Gemma 4 26B A4B is a practical option. Teams needing stronger agentic or coding performance should step up to the 31B variant or a higher-tier model.
Assessed June 6, 2026
Editorial notes
Gemma 4 26B A4B from Google offers vision, video, and tool use at very low cost, but limited coding and agentic performance make it best suited to content and instruction-following tasks rather than complex reasoning or automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemma 4 26B A4B compares
Google: Gemma 4 26B A4B ranks #126 of 378 AI models we track for overall intelligence, #94 of 315 for coding, #133 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.06 per million input tokens it is cheaper than 71% of comparable models.
About Google: Gemma 4 26B A4B
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?
Compare side-by-side with other professional models.
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, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Google: Gemma 4 26B A4B
How much does Google: Gemma 4 26B A4B cost?
Google: Gemma 4 26B A4B costs $0.06 per million input tokens and $0.33 per million output tokens.
What is the context window of Google: Gemma 4 26B A4B?
Google: Gemma 4 26B A4B has a context window of 262,144 tokens (262K).
Is Google: Gemma 4 26B A4B good for coding?
On our coding benchmark index, Google: Gemma 4 26B A4B ranks #94 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemma 4 26B A4B do?
Google: Gemma 4 26B A4B supports image/vision input, tool use, and function calling.
Who created Google: Gemma 4 26B A4B?
Google: Gemma 4 26B A4B is developed by Google and was released on April 3, 2026.
