inclusionAI: Ring 1T

Text input Text output
Author's Description

Ring-1T has undergone continued scaling with large-scale verifiable reward reinforcement learning (RLVR) training, further unlocking the natural language reasoning capabilities of the trillion-parameter foundation model. Through RLHF training, the model's general abilities have also been refined, making this release of Ring-1T more balanced in performance across various tasks. Ring-1T adopts the Ling 2.0 architecture and is trained on the Ling-1T-base foundation model, which contains 1 trillion total parameters with 50 billion activated parameters, supporting a context window of up to 128K tokens.

Key Specifications
Cost
$$$$$
Context
131K
Parameters
1T
Released
Oct 13, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Include Reasoning Response Format Tool Choice Top P Frequency Penalty Reasoning Structured Outputs Tools Temperature
Features

This model supports the following features:

Reasoning Tools Structured Outputs Response Format
Performance Summary

inclusionAI's Ring-1T, a trillion-parameter model with a 128K token context window, demonstrates exceptional reliability, achieving a 100% success rate across all benchmarks. This indicates a highly stable and dependable model. However, its speed performance tends to be slower, ranking in the 9th percentile, suggesting longer response times. In terms of cost, Ring-1T offers moderate pricing, positioned in the 32nd percentile. The model exhibits strong performance in General Knowledge, achieving 99.5% accuracy, placing it in the 78th percentile. Its Ethics performance is particularly noteworthy, reaching a perfect 100% accuracy, making it the most accurate model at its price point and among models with comparable speed. Mathematics and Reasoning also show solid results at 88.5% and 76.0% accuracy respectively, placing them in the 61st and 65th percentiles. Coding performance is more average at 83.0% accuracy (52nd percentile). Overall, Ring-1T's key strengths lie in its outstanding reliability and high accuracy in knowledge-based and ethical reasoning tasks, while its primary weakness is its comparatively slower processing speed.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.57
Completion $2.28

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
SiliconFlow
SiliconFlow | inclusionai/ring-1t 131K $0.57 / 1M tokens $2.28 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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