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...
Model details →Google: Gemma 4 26B A4B vs OpenAI: GPT-5.4 Nano (batch)
Google: Gemma 4 26B A4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | OpenAI: GPT-5.4 Nano (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 400K | 🏆 OpenAI: GPT-5.4 Nano (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.10 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.63 | 🏆 Google: Gemma 4 26B A4B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemma 4 26B A4B better than OpenAI: GPT-5.4 Nano (batch)?
Google: Gemma 4 26B A4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 4 26B A4B and OpenAI: GPT-5.4 Nano (batch)?
Input: $0.07 vs $0.10 per 1M tokens. Output: $0.34 vs $0.63 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and OpenAI: GPT-5.4 Nano (batch) support?
Google: Gemma 4 26B A4B supports up to 262K tokens. OpenAI: GPT-5.4 Nano (batch) supports up to 400K tokens.
Do both Google: Gemma 4 26B A4B and OpenAI: GPT-5.4 Nano (batch) support tool calling?
Google: Gemma 4 26B A4B: yes. OpenAI: GPT-5.4 Nano (batch): yes.
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