Google: Gemma 4 26B A4B
Analysis Summary
Gemma 4 26B A4B is a low-cost Google model supporting text, image, and video input with a 262K context window. Its coding capability is useful for lightweight implementation and technical transformations, while tool use and function calling support structured automation. The general reasoning and agentic results are more limited, so it should not be treated as a deep-analysis flagship.
The pricing is well suited to bulk content operations, SEO classification, document extraction, asset tagging, and routine code assistance. Multimodal input expands its utility for workflows involving screenshots, creative assets, or video. Keep tool permissions narrow and use checks for multi-step tasks, especially because agentic reliability is modest. Adopt it as a value-tier workhorse for high-volume operations, while routing ambiguous strategy and high-stakes client copy to a stronger model.
Assessed September 7, 2026
Editorial notes
Gemma 4 26B A4B offers low-cost multimodal processing, 262K context, tool use, and function calling with capable coding results; general reasoning and agentic reliability remain limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemma 4 26B A4B offers low-cost multimodal processing, 262K context, tool use, and function calling with capable coding results; general reasoning and agentic reliability remain limited.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
19.2 Intelligence Index·39.3 Coding Index·11 Agentic Index
How Google: Gemma 4 26B A4B compares
Google: Gemma 4 26B A4B ranks #154 of 435 AI models we track for overall intelligence, #99 of 208 for coding, #113 of 190 for agentic tasks. Its 262K-token context window is larger than 71% of the models we list. At $0.07 per million input tokens it is cheaper than 74% 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 #99 of 208 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.