inclusionAI: Ling-2.6-flashActive

inclusionai/ling-2.6-flash

Ling-2.6-flash is a 100B-parameter text model focused on intelligence efficiency, delivering strong performance while minimizing token usage. It supports a 256K context window with up to 32K output tokens, function calling, structured output, and prompt caching. It is particularly well-suited for code completion and debugging, rapid document processing, and lightweight agent interactions.

By:inclusionAIInput Type:Output Type:Publish time:2026-04-22

Providers

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ProviderCache Hit RateContext

Ant Ling

ant-ling

-$0.1/ M tokens$0.3/ M tokensRead:0.02/ M tokensWrite:-/ M tokens262.14K--

TboxSunset

theta

-$0.1/ M tokens$0.3/ M tokensRead:0.02/ M tokensWrite:-/ M tokens262.14K--

NovitaAISunset

novita

-$0.1/ M tokens$0.3/ M tokensRead:0.02/ M tokensWrite:-/ M tokens262.14K--

Uptime

24hours

Direct request success rate on AI Gateway and per-provider.

Throughput

24hours

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

Latency

24hours

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

Activity

Token volume and request traffic to this model over time.

Token Consumption

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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. View All

Token Ranking

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