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: o1 (batch)
Google: Gemma 4 26B A4B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | OpenAI: o1 (batch) | 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. | $0.07 | $7.50 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $30.00 | 🏆 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: o1 (batch)?
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: o1 (batch)?
Input: $0.07 vs $7.50 per 1M tokens. Output: $0.34 vs $30.00 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and OpenAI: o1 (batch) support?
Google: Gemma 4 26B A4B supports up to 262K tokens. OpenAI: o1 (batch) supports up to 200K tokens.
Do both Google: Gemma 4 26B A4B and OpenAI: o1 (batch) support tool calling?
Google: Gemma 4 26B A4B: yes. OpenAI: o1 (batch): yes.
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