Google: Gemma 4 26B A4B
Analysis Summary
Gemma 4 26B A4B is a compact multimodal model with a 262K context window, text, image, and video input, plus tool use and function calling. Its pricing is low at $0.07 per million input tokens and $0.34 per million output tokens, giving it a strong cost profile for sustained workloads. Benchmark results show useful coding and instruction-following ability, but weaker agentic reliability and terminal performance.
That profile fits SEO outlines, content repurposing, metadata generation, classification, and customer-support automation with review. The model can handle sizeable document inputs and visual material, but it is not the preferred choice for difficult reasoning, autonomous engineering, or high-stakes client-facing decisions. Adopt it as a volume tier where low token cost and multimodality matter more than maximum depth.
Assessed August 9, 2026
Editorial notes
Gemma 4 26B A4B delivers low-cost multimodal generation with a 262K context, vision, video, and function calling. It suits routine content and structured automation, while its reasoning and agentic performance are below premium production models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemma 4 26B A4B delivers low-cost multimodal generation with a 262K context, vision, video, and function calling. It suits routine content and structured automation, while its reasoning and agentic performance are below premium production models.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
26.1 Intelligence Index·39.3 Coding Index·11 Agentic Index
How Google: Gemma 4 26B A4B compares
Google: Gemma 4 26B A4B ranks #140 of 425 AI models we track for overall intelligence, #91 of 198 for coding, #113 of 180 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.07 per million input tokens it is cheaper than 73% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.07 | $0.000070 |
| Output | $0.34 | $0.000340 |
What would Google: Gemma 4 26B A4B cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemma 4 26B A4B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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 — delivering near-31B quality at..
Frequently asked questions about Google: Gemma 4 26B A4B
How much does Google: Gemma 4 26B A4B cost?
Google: Gemma 4 26B A4B costs $0.07 per million input tokens and $0.34 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 #91 of 198 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.