Ring-flash-2.0 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 103B |
| Active parameters | 6.1B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
Ring-flash-2.0 is below average in intelligence, but reasonably priced when comparing to other open weight models of similar size. It's also faster than average, however very verbose. The model supports text input, outputs text, and has a 128k tokens context window.
Ring-flash-2.0 scores 14 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 100M tokens, which is very verbose in comparison to the average of 7.3M.
Pricing for Ring-flash-2.0 is $0.14 per 1M input tokens (moderately priced, average: $0.15) and $0.57 per 1M output tokens (moderately priced, average: $0.57). In total, it cost $59.81 to evaluate Ring-flash-2.0 on the Intelligence Index.
At 89 tokens per second, Ring-flash-2.0 is faster than average (81).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Ring-flash-2.0 API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Ring-flash-2.0
Ring-flash-2.0 was released on September 19, 2025.
Ring-flash-2.0 was created by InclusionAI.
Ring-flash-2.0 scores 14 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 15).
Ring-flash-2.0 generates output at 88.6 tokens per second (based on the median across providers serving the model), which is above average compared to other open weight models of similar size (median: 81.3 t/s).
Ring-flash-2.0 has a time to first token (TTFT) of 2.77s (based on the median across providers serving the model), which is at the higher end compared to other open weight models of similar size (median: 1.43s).
Ring-flash-2.0 costs $0.14 per 1M input tokens (very competitive, median: $0.35) and $0.57 per 1M output tokens (very competitive, median: $0.75), based on the median across providers serving the model.
Ring-flash-2.0 costs $0.14 per 1M input tokens and $0.57 per 1M output tokens (based on the median across providers serving the model). For a blended rate (3:1 input to output ratio), this is $0.25 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Ring-flash-2.0 generated 100M output tokens, which is at the higher end compared to other open weight models of similar size (median: 7.3M).
Yes, Ring-flash-2.0 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Ring-flash-2.0 supports text input.
Ring-flash-2.0 supports text output.
No, Ring-flash-2.0 does not support image input. It can only process text.
No, Ring-flash-2.0 is not multimodal. It only supports text input.
Ring-flash-2.0 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Ring-flash-2.0 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Ring-flash-2.0 has 103 billion parameters (6.1 billion active).
Ring-flash-2.0 is a Mixture of Experts (MoE) model with 103 billion total parameters, but only 6.1 billion active parameters are used during inference.
Ring-flash-2.0 is released under the MIT license. This license allows commercial use. View license
Ring-flash-2.0 achieves a score of 14 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Ring-flash-2.0 is available via API through 1 provider. Compare API providers
Ring-flash-2.0 is available through 1 API provider. Compare providers