The Orchestrator › Models › InclusionAI

InclusionAI: inclusionAI: Ling 3.0 Flash

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...

Specifications

ProviderInclusionAI
Model IDinclusionai/ling-3.0-flash
Context window262K tokens (262,144)
Modalitiestext → text
TokenizerOther
Router sourcesOpenRouter, TrustedRouter, Vercel AI Gateway
Released2026-07-23
Tracked since2026-11-14
PopularityNot in the ranked set
ReasoningOn by default

Pricing (per million tokens)

VariantSourceAPI IDInputOutputContext
standardOpenRouterinclusionai/ling-3.0-flash$0.021$0.063262K
standardTrustedRouterinclusionai/ling-3.0-flash$0.063$0.19131K
standardVercel AI Gatewayinclusionai/ling-3.0-flash$0.021$0.063256K

Recorded price history

DateInput / 1MOutput / 1MContext
2026-11-14$0.021$0.063256K
2026-11-14$0.063$0.19131K
2026-11-14$0.021$0.063262K

Capabilities

Agentic tool useStructured outputsReasoning mode256K+ context windowControllable reasoningNo content storage (attested)

Trust flags come from TrustedRouter's per-provider attestations.

Supported parameters

frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, temperature, tool_choice, tools, top_k, top_logprobs, top_p