Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
Model details →Google: Gemma 3 27B vs inclusionAI: Ling-2.6-1T
Google: Gemma 3 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require fast execution and high efficiency at scale. It uses a “fast...
Model details →Side-by-side comparison
| Capability | Google: Gemma 3 27B | inclusionAI: Ling-2.6-1T | 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. | $0.08 | $0.07 | 🏆 inclusionAI: Ling-2.6-1T |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.45 | $0.63 | 🏆 Google: Gemma 3 27B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemma 3 27B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Gemma 3 27B better than inclusionAI: Ling-2.6-1T?
Google: Gemma 3 27B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemma 3 27B and inclusionAI: Ling-2.6-1T?
Input: $0.08 vs $0.07 per 1M tokens. Output: $0.45 vs $0.63 per 1M tokens.
What context windows do Google: Gemma 3 27B and inclusionAI: Ling-2.6-1T support?
Google: Gemma 3 27B supports up to 262K tokens. inclusionAI: Ling-2.6-1T supports up to 262K tokens.
Do both Google: Gemma 3 27B and inclusionAI: Ling-2.6-1T support tool calling?
Google: Gemma 3 27B: yes. inclusionAI: Ling-2.6-1T: yes.
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