Ring-2.6-1T

Name: Ring-2.6-1T
Author: InclusionAI

Released

2026-05-08

Last refreshed

2026-06-29

Status

Researched 108d ago

Open sourceCommercial use: permittedCodingRAGAgentsLong contextClassificationJSON / Tool use

Ring-2.6-1T is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

Teams evaluating coding, rag, and agents
Workloads that can use a 262k context window
Buyers comparing 2 tracked provider routes

Do not use it for

Vision or document-understanding workloads

Specifications

Family: Ring 2.6
Released: 2026-05-08
Context: 262k
Max output: 65,536
Parameters: 1T total / 63B active
Architecture: Mixture of Experts
Specialization: reasoning
Openness: Open source
License: MITOSI-approvedCommercial use: permitted
Weights: Available
Code: Unknown
Training: Pretrained

Created by

InclusionAI

InclusionAI is Ant Group's artificial general intelligence research lab, responsible for developing the Ling series of l

Hangzhou, China

Founded 2023

Website

Pricing

Output / 1M

$0.625

Input / 1M

$0.075

Cheapest of 2 routes · OpenRouter · cache read $0.015

Providers(2)

OpenRouter Novita AI

View 2 provider routes

Links

Website HuggingFace

About

Ring-2.6-1T is InclusionAI's MIT-licensed trillion-parameter MoE reasoning model for agent workflows, engineering tasks, scientific analysis, and enterprise automation. It supports high and xhigh reasoning effort modes and entered OpenRouter's Programming top 10 in the 2026-05-18 audit.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ B

1 relevant benchmark in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ A

2 relevant benchmarks in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

Provider	Input / 1M	Output / 1M	Cache	Route
OpenRouter	$0.075	$0.625	read $0.015	Serverless
Novita AI	$0.300	$2.50	-	Serverless

Capabilities

ReasoningJSON / Tool useStructured Outputs

Benchmark peer barsfor Coding

SWE-bench VerifiedRank 46 of 81

Claude Fable 5

96.0

Claude Opus 5

96.0

Claude Mythos Preview

93.9

Claude Opus 4.8

88.6

Ring-2.6-1Tcurrent

74.0

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.

Benchmark	Score	Version	Evaluation	Source
AIME 2025	95.8	AIME 2026 (accuracy)Observed 2026-06-07	—	Source
Google-Proof Q&A	88.3	GPQA Diamond (accuracy)Observed 2026-06-07	—	Source
SWE-bench Verified	74.0	SWE-bench Verified (resolved)Observed 2026-06-07	—	Source
τ-bench	95.3	Tau2-Bench Telecom scenario (accuracy)Observed 2026-06-07	—	Source