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 inclusionAI: Ling 3.1 Flash
inclusionAI: Ling 3.1 Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | inclusionAI: Ling 3.1 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. | $0.07 | $0.00 | 🏆 inclusionAI: Ling 3.1 Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.23 | $0.00 | 🏆 inclusionAI: Ling 3.1 Flash |
| 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 inclusionAI: Ling 3.1 Flash?
inclusionAI: Ling 3.1 Flash 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 inclusionAI: Ling 3.1 Flash?
Input: $0.07 vs $0.00 per 1M tokens. Output: $0.23 vs $0.00 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and inclusionAI: Ling 3.1 Flash support?
Google: Gemma 4 26B A4B supports up to 262K tokens. inclusionAI: Ling 3.1 Flash supports up to 262K tokens.
Do both Google: Gemma 4 26B A4B and inclusionAI: Ling 3.1 Flash support tool calling?
Google: Gemma 4 26B A4B: yes. inclusionAI: Ling 3.1 Flash: yes.