inclusionAI: Ring-2.6-1T

inclusionAI: Ring-2.6-1T

inclusionai · Released May 8, 2026
Intelligence #85 / 715
59.1 our score
Speed #114 / 321
124.7 tok/s
Input Price #203 / 717
$0.075 per 1M tokens
Output Price #321 / 717
$0.625 per 1M tokens
Context #198 / 717
262,144 tokens

Analysis Summary

Ring-2.6-1T is an inclusionAI model with a 262K context window, tool use, and function calling. Its coding capability is stronger than its general intelligence profile suggests, and its long-context results support technical documents, source analysis, and structured workflows. The model is text-only, so visual and media-heavy tasks require preprocessing or another model.

It suits code transformation, SEO data processing, templated content, and supervised tool-connected automation. Instruction following is a weaker area, and the lower agentic capability limits its use for open-ended autonomous agents. Teams should use schemas, validation, and clear task boundaries when routing client work through it, particularly where exact formatting or multi-step execution matters.

Very low pricing gives Ring-2.6-1T a persuasive volume role. Adopt it for routine technical and structured workloads where cost efficiency is central, while escalating nuanced writing, complex reasoning, and high-risk tool actions to a more capable model.

Assessed August 9, 2026

Editorial notes

Ring-2.6-1T offers strong coding for its price, 262K context, and function calling at very low rates. Its weaker instruction following and agentic performance make it better for supervised automation than autonomous client agents.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Ring-2.6-1T offers strong coding for its price, 262K context, and function calling at very low rates. Its weaker instruction following and agentic performance make it better for supervised automation than autonomous client agents.

#85 of 715 overall Down 5 this week

Benchmark scores

GPQA Diamond 85.7%
HLE 18.3%
SciCode 42.4%
TerminalBench Hard 28.8%
τ²-Bench 92.4%
IFBench 44.6%
LCR 64.3%

Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.

31.1 Intelligence Index·42.8 Coding Index·18.9 Agentic Index

How inclusionAI: Ring-2.6-1T compares

InclusionAI: Ring-2.6-1T ranks #120 of 428 AI models we track for overall intelligence, #85 of 201 for coding, #96 of 183 for agentic tasks. Its 262K-token context window is larger than 72% of the models we list. At $0.08 per million input tokens it is cheaper than 72% of comparable models.

Position in the field
Intelligence: smarter than 88% of models #85
Speed: faster than 64% of models #114
Price: cheaper than 72% of models #203
Context: larger than 72% of models #198
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
inclusionAI: Ring-2.6-1T $0.08 in $0.63 out
Claude Opus 5 $5.00 in $25.00 out
OpenAI: GPT-5.6 Sol $2.00 in $10.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
inclusionAI: Ring-2.6-1T 262K

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence4.9Technical4.3Value8Content6.8
Performance profile

Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.08 $0.000075
Output $0.63 $0.000625

What would inclusionAI: Ring-2.6-1T cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo inclusionAI: Ring-2.6-1T

Full calculator with 717 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save inclusionAI: Ring-2.6-1T for the hard ones. Most clients cut their estimate by 60-80%.

Talk to our team

About inclusionAI: Ring-2.6-1T

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. It is optimized for coding agents, tool..

Frequently asked questions about inclusionAI: Ring-2.6-1T

How much does inclusionAI: Ring-2.6-1T cost?

inclusionAI: Ring-2.6-1T costs $0.08 per million input tokens and $0.63 per million output tokens.

What is the context window of inclusionAI: Ring-2.6-1T?

inclusionAI: Ring-2.6-1T has a context window of 262,144 tokens (262K).

Is inclusionAI: Ring-2.6-1T good for coding?

On our coding benchmark index, inclusionAI: Ring-2.6-1T ranks #85 of 201 models, placing it in the broader range of the field for code generation and debugging.

What can inclusionAI: Ring-2.6-1T do?

inclusionAI: Ring-2.6-1T supports tool use and function calling.

Who created inclusionAI: Ring-2.6-1T?

inclusionAI: Ring-2.6-1T is developed by inclusionAI and was released on May 8, 2026.

© 2026 Design for Online Ltd. Registered in England and Wales No. 10328553. VAT Registered. Design for Online® and Forerunner® are registered trademarks.