inclusionAI: Ling-2.6-flash
Analysis Summary
Ling-2.6-flash is a compact model from inclusionAI with a strong agentic index relative to its intelligence tier, solid instruction-following scores, and tool use and function calling support. Its pricing at $0.01/$0.03 per million tokens is among the lowest in the entire field, making it a compelling option for cost-sensitive, high-volume workloads.
For businesses, the model fits well in structured content generation, SEO workflows, and automated pipelines where task complexity is moderate and volume is high. Instruction following is above average for its tier, and the agentic index suggests reliable tool-augmented task execution. Reasoning depth and coding capability are limited, so it is not suited to complex analysis or software engineering tasks.
At this price point, the cost-per-task economics are difficult to beat for appropriate use cases. Teams running large-scale content automation, classification, or structured extraction workflows should evaluate it seriously, while keeping a stronger model available for tasks requiring deeper reasoning.
Assessed June 30, 2026
Editorial notes
Ling-2.6-flash from inclusionAI offers strong agentic performance and instruction following at an exceptionally low price of $0.01/$0.03 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?
Performance Profile
How inclusionAI: Ling-2.6-flash compares
InclusionAI: Ling-2.6-flash ranks #144 of 385 AI models we track for overall intelligence, #82 of 293 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
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.
External Resources
Explore Related Models
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).
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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 2, 2026 8:38 pm