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Favicon for inclusionai

inclusionAI: Ling-2.6-flash

inclusionai/ling-2.6-flash

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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. It delivers performance comparable to state-of-the-art models at a similar scale while significantly reducing token usage across coding, document processing, and lightweight agent workflows.

Modalities

In / Out Price

90% off

$0.01 / $0.03per 1M

Context

262K

Released

Apr 21, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About inclusionAI: Ling-2.6-flash

OpenRouter makes inclusionAI: Ling-2.6-flash available through a unified, OpenAI-compatible API using the model ID inclusionai/ling-2.6-flash. It is served by NovitaAI.

inclusionAI: Ling-2.6-flash accepts text and returns text. It has a 262,144-token context window and a maximum output of 32,768 tokens.

On OpenRouter, inclusionAI: Ling-2.6-flash costs $0.01/M input tokens and $0.03/M output tokens, with separate rates for Cache Read at $0.002/M tokens. Effective pricing can be lower when prompt caching applies. It was released on April 21, 2026.

More models from inclusionAI

  • Ling-3.0-flash
  • Ring-2.6-1T
  • Ling-2.6-1T

Frequently asked questions

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.

Ling-2.6-flash costs $0.01/M input tokens and $0.03/M output tokens, with separate rates for Cache Read at $0.002/M tokens.

Ling-2.6-flash has a 262,144 token context window. It supports up to 32,768 completion tokens.

Yes. Ling-2.6-flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Ling-3.0-flash, Ring-2.6-1T and Ling-2.6-1T are other text models from inclusionAI.

Ling-2.6-flash was released on April 21, 2026.

90% off
$0.10$0.01$0.30$0.03$0.02$0.0020.61s45 tps
99.84%

Throughput

45tok/s

P50, best across providers

Latency

0.60s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.98%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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