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: o3 Pro
Google: Gemma 4 26B A4B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | OpenAI: o3 Pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 200K | 🏆 Google: Gemma 4 26B A4B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.09 | $20.00 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $80.00 | 🏆 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: o3 Pro?
Google: Gemma 4 26B A4B wins on 3 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: o3 Pro?
Input: $0.09 vs $20.00 per 1M tokens. Output: $0.30 vs $80.00 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and OpenAI: o3 Pro support?
Google: Gemma 4 26B A4B supports up to 262K tokens. OpenAI: o3 Pro supports up to 200K tokens.
Do both Google: Gemma 4 26B A4B and OpenAI: o3 Pro support tool calling?
Google: Gemma 4 26B A4B: yes. OpenAI: o3 Pro: yes.