InclusionAI

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.

Context window
262K
tokens
Input price
$0.01
per M tokens
Output price
$0.03
per M tokens
Provider
InclusionAI

Prices update automatically — checked hourly 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 index14.1
Coding index25.3
GPQA59.3%
Humanity's Last Exam6.2%
Long Context Reasoning25%
SciCode27.1%
IFBench57.4%
τ²-Bench86%
τ-Bench Banking2.9%
Terminal-Bench24.3%
Terminal-Bench Hard21.2%
⚡ Speed99.4 tokens/sec
⏱ Latency0.65s to first token
💰 Blended price$0.15 / 1M tokens
📈 Value94 intelligence points per $
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 hourly 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 14.1 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 6.2%, Long Context Reasoning 25%, 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.

How fast is Ling-2.6-flash?

It generates about 99.4 tokens per second, with a median 0.65s delay before the first token. Measured independently by Artificial Analysis.

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