Specifications
Context Window
—
Input Price/1M
$0.30
#400 of 806
Output Price/1M
$2.50
Parameters
—
Speed
117 tok/s
#159 of 651
Latency (TTFT)
3.7s
Cost per Task
19.5
AA Score / US$ · higher = better
Benchmarks
Ring-2.6-1T results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 29.0 | 100.0 | — |
| AA Agentic Index | 10.7 | 100.0 | Artificial Analysis official API |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 42.8 | 100.0 | Artificial Analysis official API |
| SciCode | 42.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 64.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.6 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 86.0 | 100.0 | Artificial Analysis official API |
| IFBench | 45.0 | 100.0 | — |
| HLE | 18.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 92.0 | 100.0 | — |
Information
- Release date
- May 08, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Ring-2.6-1T
What is Ring-2.6-1T?
Ring-2.6-1T is an AI model developed by InclusionAI, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via InclusionAI's cloud API.
Pricing & Costs in 2026
Ring-2.6-1T is usage-based, priced at $0.3/1M input tokens and $2.5/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Benchmarks & Performance
Ring-2.6-1T was evaluated on 10 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Ring-2.6-1T specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Ring-2.6-1T competes directly with similarly capable models. InclusionAI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Ring-2.6-1T?
Ring-2.6-1T is an AI model developed by InclusionAI. It is a text model.
How much does Ring-2.6-1T cost?
Ring-2.6-1T costs $0.3/1M input tokens and $2.5/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Ring-2.6-1T compare with other models?
In available benchmarks, Ring-2.6-1T scored: Terminal-Bench Hard: 29/100, AA Agentic Index: 10.7/100, AA Coding Index: 42.8/100. See the full table above for a detailed comparison.
Is Ring-2.6-1T open source?
No, Ring-2.6-1T is a proprietary model from InclusionAI. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Ring-2.6-1T best for?
Ring-2.6-1T excels at general-purpose language tasks.
Last updated: October 16, 2026 • View methodology →