inclusionAI: Ling-2.6-flash
Analysis Summary
Ling-2.6-flash from inclusionAI is a text-only model with tool use and function calling, a 262K context window, and benchmark scores that place it well above most small and mid-tier models. Its agentic index is particularly strong for its price class, and instruction-following scores are above average, making it a credible option for structured automation and content workflows.
For businesses, the standout case is high-volume agentic pipelines, SEO content generation, and structured data tasks where cost efficiency is critical. At $0.01 input and $0.03 output per million tokens, it is the most cost-effective benchmarked model in the database by a wide margin. The lack of vision support limits its use in multimodal workflows, and reasoning depth does not match frontier models.
For teams running large-scale automation or content operations on a tight budget, Ling-2.6-flash is a compelling choice. Pair it with a frontier model for tasks requiring deep reasoning, and use it as the primary workhorse for high-volume, well-defined tasks.
Assessed June 6, 2026
Editorial notes
Ling-2.6-flash from inclusionAI delivers strong agentic performance and competitive reasoning at $0.01 input per million tokens, with tool use and function calling at a price point that makes it the best value-per-capability model in its tier.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How inclusionAI: Ling-2.6-flash compares
InclusionAI: Ling-2.6-flash ranks #136 of 378 AI models we track for overall intelligence, #127 of 315 for coding, #74 of 289 for agentic tasks. Its 262K-token context window is larger than 81% of the models we list. At $0.01 per million input tokens it is cheaper than 78% of comparable models.
About 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..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does inclusionAI: Ling-2.6-flash stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
inclusionai/ling-2.6-flash
|
| Provider | inclusionai |
| Release Date | April 21, 2026 |
| Context Length | 262,144 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.01 | $0.000010 |
| Output | $0.03 | $0.000030 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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 315 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.
