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 StepFun: Step 3.5 Flash
Google: Gemma 4 26B A4B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | StepFun: Step 3.5 Flash | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.09 | $0.10 | 🏆 Google: Gemma 4 26B A4B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $0.30 | Tie |
| 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 StepFun: Step 3.5 Flash?
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 StepFun: Step 3.5 Flash?
Input: $0.09 vs $0.10 per 1M tokens. Output: $0.30 vs $0.30 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and StepFun: Step 3.5 Flash support?
Google: Gemma 4 26B A4B supports up to 262K tokens. StepFun: Step 3.5 Flash supports up to 262K tokens.
Do both Google: Gemma 4 26B A4B and StepFun: Step 3.5 Flash support tool calling?
Google: Gemma 4 26B A4B: yes. StepFun: Step 3.5 Flash: yes.