inclusionAI: Ling-2.6-flash
Analysis Summary
Ling-2.6-flash stands out primarily on price, offering tool use and function calling at a fraction of a cent per million tokens while posting a respectable agentic reliability score. Reasoning and coding performance are noticeably behind current frontier models.
It suits high-volume, low-complexity automation such as simple agent loops, routing or bulk text processing where cost per call matters more than depth of reasoning.
For client-facing content or complex coding work, businesses should pair it with a stronger model; its value proposition is squarely about cost efficiency at scale rather than capability ceiling.
Assessed July 29, 2026
Editorial notes
Ling-2.6-flash from inclusionAI is exceptionally cheap with decent tool-use and agentic scores, though raw reasoning and coding remain modest.
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 is exceptionally cheap with decent tool-use and agentic scores, though raw reasoning and coding remain modest.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
14.1 Intelligence Index·25.3 Coding Index·2.3 Agentic Index
How inclusionAI: Ling-2.6-flash compares
InclusionAI: Ling-2.6-flash ranks #196 of 398 AI models we track for overall intelligence, #97 of 173 for coding, #119 of 154 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.01 per million input tokens it is cheaper than 80% 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 intelligence 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?
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 654 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 #97 of 173 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.
