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-2.6-flash
Google: Gemma 4 26B A4B and inclusionAI: Ling-2.6-flash are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency....
Model details →Side-by-side comparison
| Capability | Google: Gemma 4 26B A4B | inclusionAI: Ling-2.6-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 | $0.01 | 🏆 inclusionAI: Ling-2.6-flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.34 | $0.03 | 🏆 inclusionAI: Ling-2.6-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 | — | 🏆 Google: Gemma 4 26B A4B |
Frequently asked questions
Is Google: Gemma 4 26B A4B better than inclusionAI: Ling-2.6-flash?
Google: Gemma 4 26B A4B and inclusionAI: Ling-2.6-flash are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Google: Gemma 4 26B A4B and inclusionAI: Ling-2.6-flash?
Input: $0.07 vs $0.01 per 1M tokens. Output: $0.34 vs $0.03 per 1M tokens.
What context windows do Google: Gemma 4 26B A4B and inclusionAI: Ling-2.6-flash support?
Google: Gemma 4 26B A4B supports up to 262K tokens. inclusionAI: Ling-2.6-flash supports up to 262K tokens.
Do both Google: Gemma 4 26B A4B and inclusionAI: Ling-2.6-flash support tool calling?
Google: Gemma 4 26B A4B: yes. inclusionAI: Ling-2.6-flash: yes.
Compare Google: Gemma 4 26B A4B with other models
vs Anthropic Claude Haiku Latestvs Anthropic Claude Sonnet Latestvs Anthropic: Claude Fable Latestvs Anthropic: Claude Opus Latest