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ILing-2.6-flashAPI

Ling-2.6-flash (InclusionAI): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

262KContext window · tokens
$0.01Input price · per M tokens
$0.03Output price · per M tokens
InclusionAIProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Ling-2.6-flash, measured by Artificial Analysis. Higher is better.

Intelligence index14.2
Coding index25.3
GPQA59.3%
Humanity's Last Exam6.3%
Long Context Reasoning28%
SciCode27.1%
IFBench57.4%
τ²-Bench86%
τ-Bench Banking2.9%
Terminal-Bench24.3%
Terminal-Bench Hard21.2%
💰 Blended price$0.15 / 1M tokens
📈 Value94.7 intelligence points per $
vs. models measured heretop 76%
Scores higher than 24% of the 276 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.7 per 1M tokens (median of 22) — this one costs $0.02.
No model tracked here is both cheaper and better on this index.
Benchmark data by Artificial Analysis

About this model

Ling-2.6-flash is a commercial AI model by InclusionAI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Ling-2.6-flash?

Ling-2.6-flash is an AI language model from InclusionAI. It is a proprietary model, available through an API. It scores 14.2 on the Artificial Analysis intelligence index.

Is Ling-2.6-flash free?

Ling-2.6-flash is not free: it costs $0.01 per million input tokens and $0.03 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Ling-2.6-flash good at?

Independent benchmarks from Artificial Analysis give it GPQA 59.3%, Humanity's Last Exam 6.3%, Long Context Reasoning 28%, SciCode 27.1%, IFBench 57.4%, τ²-Bench 86%, τ-Bench Banking 2.9%, Terminal-Bench 24.3%, Terminal-Bench Hard 21.2%. It is particularly used for code generation.

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