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 →inclusionAI: Ling-2.6-flash vs Qwen: Qwen3 30B A3B Instruct 2507
inclusionAI: Ling-2.6-flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual u…
Model details →Side-by-side comparison
| Capability | inclusionAI: Ling-2.6-flash | Qwen: Qwen3 30B A3B Instruct 2507 | 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. | $0.01 | $0.05 | 🏆 inclusionAI: Ling-2.6-flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.03 | $0.19 | 🏆 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. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is inclusionAI: Ling-2.6-flash better than Qwen: Qwen3 30B A3B Instruct 2507?
inclusionAI: Ling-2.6-flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between inclusionAI: Ling-2.6-flash and Qwen: Qwen3 30B A3B Instruct 2507?
Input: $0.01 vs $0.05 per 1M tokens. Output: $0.03 vs $0.19 per 1M tokens.
What context windows do inclusionAI: Ling-2.6-flash and Qwen: Qwen3 30B A3B Instruct 2507 support?
inclusionAI: Ling-2.6-flash supports up to 262K tokens. Qwen: Qwen3 30B A3B Instruct 2507 supports up to 262K tokens.
Do both inclusionAI: Ling-2.6-flash and Qwen: Qwen3 30B A3B Instruct 2507 support tool calling?
inclusionAI: Ling-2.6-flash: yes. Qwen: Qwen3 30B A3B Instruct 2507: yes.
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