inclusionAI: Ling-2.6-flash
Analysis Summary
Ling-2.6-flash is a low-cost text model from inclusionAI with a 262K-token context window, tool use, and function calling. Its measured profile shows limited general reasoning and coding capability, alongside stronger task-oriented tool interaction. The input and output prices are among the lowest listed, making cost its defining operational advantage.
For an agency, it can handle lightweight classification, routing, extraction, templated SEO operations, and simple tool-connected workflows where failures are easy to detect and recover from. It is not a suitable default for nuanced client copy, difficult reasoning, software engineering, or autonomous multi-step agents, particularly given its low agentic result and modest long-context performance. Adopt it as a volume layer for constrained tasks, with a stronger model supervising customer-facing or high-consequence outputs.
Assessed August 9, 2026
Editorial notes
Ling-2.6-flash is an exceptionally low-cost, 262K-context model with function calling and strong task-oriented tool-use results. Its reasoning and coding capability are limited, so it suits lightweight automation rather than demanding analysis.
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DFO Verdict
Ling-2.6-flash is an exceptionally low-cost, 262K-context model with function calling and strong task-oriented tool-use results. Its reasoning and coding capability are limited, so it suits lightweight automation rather than demanding analysis.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.2 Intelligence Index·25.3 Coding Index·2.3 Agentic Index
How inclusionAI: Ling-2.6-flash compares
InclusionAI: Ling-2.6-flash ranks #232 of 433 AI models we track for overall intelligence, #127 of 206 for coding, #152 of 188 for agentic tasks. Its 262K-token context window is larger than 72% of the models we list. At $0.01 per million input tokens it is cheaper than 81% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.01 | $0.000010 |
| Output | $0.03 | $0.000030 |
What would inclusionAI: Ling-2.6-flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save inclusionAI: Ling-2.6-flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout inclusionAI: Ling-2.6-flash
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..
Frequently asked questions about inclusionAI: Ling-2.6-flash
How much does inclusionAI: Ling-2.6-flash cost?
inclusionAI: Ling-2.6-flash costs $0.01 per million input tokens and $0.03 per million output tokens.
What is the context window of inclusionAI: Ling-2.6-flash?
inclusionAI: Ling-2.6-flash has a context window of 262,144 tokens (262K).
Is inclusionAI: Ling-2.6-flash good for coding?
On our coding benchmark index, inclusionAI: Ling-2.6-flash ranks #127 of 206 models, placing it in the broader range of the field for code generation and debugging.
What can inclusionAI: Ling-2.6-flash do?
inclusionAI: Ling-2.6-flash supports tool use and function calling.
Who created inclusionAI: Ling-2.6-flash?
inclusionAI: Ling-2.6-flash is developed by inclusionAI and was released on April 21, 2026.