Google: Gemma 4 26B A4B
Analysis Summary
Google's Gemma 4 26B A4B is a multimodal model with a 262K context window, tool use, and function calling. Its coding index is stronger than its intelligence and agentic measurements, while the provided results also show image and video input. Pricing is listed at $0.09 per million input tokens and $0.30 per million output tokens.
For client workflows, the combination of vision, long context, and tool support can help with document review, multimodal content analysis, and structured automation. The measured agentic result is low, so it is a less suitable choice for workflows that depend on dependable multi-step autonomy. Its language and instruction-following measures offer some support for routine content tasks, but not the evidence for high-stakes reasoning.
Consider it for budget-conscious multimodal work where coding and context matter, with human review for consequential outputs and agent actions.
Assessed September 23, 2026
Editorial notes
Gemma 4 26B A4B combines image and video input, a 262K context window, and tool support at moderate listed rates; reasoning and agentic benchmarks are weaker than its coding results.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemma 4 26B A4B combines image and video input, a 262K context window, and tool support at moderate listed rates; reasoning and agentic benchmarks are weaker than its coding results.
Benchmarks
Artificial Analysis data refreshed Nov 9, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Google: Gemma 4 26B A4B compares
Google: Gemma 4 26B A4B ranks #167 of 449 AI models we track for overall intelligence, #95 of 199 for coding, #126 of 181 for agentic tasks. Its 262K-token context window is larger than 73% of the models we list. At $0.08 per million input tokens it is cheaper than 67% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000077 |
| Output | $0.26 | $0.000255 |
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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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 $0.08 per million input tokens and $0.26 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 #95 of 199 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.