Ring-flash-2.0

Ring-flash-2.0

InclusionAItext

API Available

Specifications

Context Window

Input Price/1M

$0.14

Output Price/1M

$0.57

Parameters

00

Benchmarks

Ring-flash-2.0 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard8.0100.0

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench63.0100.0Artificial Analysis official API
SciCode17.0100.0
AA Coding Index10.6100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro79.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR21.0100.0

Math

BenchmarkScoreMaximumMethodology
AIME 202584.0100.0Artificial Analysis official API
AA Math Index83.7100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index14.0100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro79.3100.0Artificial Analysis official API
GPQA Diamond73.0100.0Artificial Analysis official API
IFBench43.0100.0
HLE9.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench0.0100.0

Information

Release date
September 19, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Ring-flash-2.0

What is Ring-flash-2.0?

Ring-flash-2.0 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-flash-2.0 is usage-based, priced at $0.14/1M input tokens and $0.57/1M 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-flash-2.0 was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid 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-flash-2.0 specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Ring-flash-2.0 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-flash-2.0?

Ring-flash-2.0 is an AI model developed by InclusionAI. It is a text model.

How much does Ring-flash-2.0 cost?

Ring-flash-2.0 costs $0.14/1M input tokens and $0.57/1M 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-flash-2.0 compare with other models?

In available benchmarks, Ring-flash-2.0 scored: Terminal-Bench Hard: 8/100, LiveCodeBench: 63/100, SciCode: 17/100. See the full table above for a detailed comparison.

Is Ring-flash-2.0 open source?

No, Ring-flash-2.0 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-flash-2.0 best for?

Ring-flash-2.0 excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →