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IRing-2.6-1TAPI

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency.

262KContext window · tokens
$0.08Input price · per M tokens
$0.63Output 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 Ring-2.6-1T, measured by Artificial Analysis. Higher is better.

Intelligence index31.7
Coding index42.8
GPQA85.7%
Humanity's Last Exam21.6%
Long Context Reasoning67.3%
SciCode42.4%
IFBench44.6%
τ²-Bench92.4%
τ-Bench Banking17.9%
Terminal-Bench43.1%
Terminal-Bench Hard28.8%
⚡ Speed121.5 tokens/sec
⏱ Latency1.48s to first token
💰 Blended price$0.85 / 1M tokens
📈 Value37.3 intelligence points per $
vs. models measured heretop 44%
Scores higher than 56% of the 276 models measured by Artificial Analysis and tracked here.
Models at this level cost $1.08 per 1M tokens (median of 19) — this one costs $0.22.
Cheaper and better on this index: DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 · Solar Pro 4 and 2 more
Benchmark data by Artificial Analysis

About this model

Ring-2.6-1T 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 Ring-2.6-1T?

Ring-2.6-1T is an AI language model from InclusionAI. It is a proprietary model, available through an API. It scores 31.7 on the Artificial Analysis intelligence index.

Is Ring-2.6-1T free?

Ring-2.6-1T is not free: it costs $0.08 per million input tokens and $0.63 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Ring-2.6-1T good at?

Independent benchmarks from Artificial Analysis give it GPQA 85.7%, Humanity's Last Exam 21.6%, Long Context Reasoning 67.3%, SciCode 42.4%, IFBench 44.6%, τ²-Bench 92.4%, τ-Bench Banking 17.9%, Terminal-Bench 43.1%, Terminal-Bench Hard 28.8%. It is particularly used for code generation.

How fast is Ring-2.6-1T?

It generates about 121.5 tokens per second, with a median 1.48s delay before the first token. Measured independently by Artificial Analysis.

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