inclusionAI: Ling-2.6-flash
Analysis Summary
Ling-2.6-flash from inclusionAI is a cost-optimised model with a high agentic index of 53.6 and a strong tau2 reliability score of 0.86, both well above what its price point would suggest. It supports tool use and function calling, and its instruction-following benchmark is competitive with mid-tier models.
For businesses, it is best suited to high-volume structured workflows: automated content pipelines, SEO content generation, form extraction, or lightweight agentic tasks where cost per call is the primary constraint. Its intelligence and coding indices are limited, so it is not appropriate for complex reasoning or software engineering tasks.
At $0.01 input and $0.03 output per million tokens it is one of the cheapest tool-capable models available. Teams running large-scale automation at tight margins will find it hard to beat on pure cost-efficiency, provided tasks stay within its reasoning limits.
Assessed July 10, 2026
Editorial notes
Ling-2.6-flash from inclusionAI delivers a strong agentic score and solid instruction-following at an exceptionally low price of $0.01 input per million tokens, making it a standout value option for high-volume structured tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Ling-2.6-flash from inclusionAI delivers a strong agentic score and solid instruction-following at an exceptionally low price of $0.01 input per million tokens, making it a standout value option for high-volume structured tasks.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.1 Intelligence IndexĀ·25.3 Coding IndexĀ·53.6 Agentic Index
How inclusionAI: Ling-2.6-flash compares
InclusionAI: Ling-2.6-flash ranks #192 of 393 AI models we track for overall intelligence, #84 of 157 for coding, #70 of 300 for agentic tasks. Its 262K-token context window is larger than 80% of the models we list. At $0.01 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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..
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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 #84 of 157 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.
