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 MiniMax: MiniMax M2.5
Google: Gemma 4 26B A4B wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | MiniMax: MiniMax M2.5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 205K | 🏆 Google: Gemma 4 26B A4B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.22 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.90 | 🏆 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 | — | 🏆 Google: Gemma 4 26B A4B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemma 4 26B A4B better than MiniMax: MiniMax M2.5?
Google: Gemma 4 26B A4B wins on 4 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 MiniMax: MiniMax M2.5?
Input: $0.07 vs $0.22 per 1M tokens. Output: $0.34 vs $0.90 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and MiniMax: MiniMax M2.5 support?
Google: Gemma 4 26B A4B supports up to 262K tokens. MiniMax: MiniMax M2.5 supports up to 205K tokens.
Do both Google: Gemma 4 26B A4B and MiniMax: MiniMax M2.5 support tool calling?
Google: Gemma 4 26B A4B: yes. MiniMax: MiniMax M2.5: yes.
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