inclusionAI: Ling-2.6-flash
Analysis Summary
inclusionAI: Ling-2.6-flash sits in the Specialist tier on our leaderboard, ranked #113 of 557 published models on overall intelligence. At $0.010 input and $0.030 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use and function calling.
Editorial notes
Ling-2.6-flash from inclusionAI offers strong value at $0.01/1M input tokens with tool use, function calling, and a 262K context window, though reasoning and coding capability are limited.
Assessed May 17, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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 specialist 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 ā refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 20, 2026 8:38 pm