inclusionAI: Ling-2.6-flash
Analysis Summary
inclusionAI: Ling-2.6-flash sits in the Specialist tier on our leaderboard, ranked #117 of 556 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 is a low-cost flash model with tool use and a 262K context; benchmark scores are below mid-range but pricing makes it viable for high-volume lighter tasks.
Assessed May 14, 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.
Leaderboard Categories
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 16, 2026 8:38 pm