Trinity Large Thinking 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 | 512k ~768 A4 pages of size 12 Arial font |
| Total parameters | 399B |
| Active parameters | 13B Number of parameters active per token during inference |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Trinity Large Thinking is above average in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also notably fast, however very verbose. The model supports text input, outputs text, and has a 512k tokens context window.
Trinity Large Thinking scores 32 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 27). When evaluating the Intelligence Index, it generated 150M tokens, which is very verbose in comparison to the average of 39M.
Pricing for Trinity Large Thinking is $0.23 per 1M input tokens (moderately priced, average: $0.55) and $0.88 per 1M output tokens (moderately priced, average: $1.68). In total, it cost $174.98 to evaluate Trinity Large Thinking on the Intelligence Index.
At 101 tokens per second, Trinity Large Thinking is notably fast (57).
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 Trinity Large Thinking 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 Trinity Large Thinking
Trinity Large Thinking was released on April 1, 2026.
Trinity Large Thinking was created by Arcee AI.
Trinity Large Thinking scores 32 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 27).
Trinity Large Thinking generates output at 101.0 tokens per second (based on the median across providers serving the model), which is well above average compared to other open weight models of similar size (median: 57.0 t/s).
Trinity Large Thinking has a time to first token (TTFT) of 0.98s (based on the median across providers serving the model), which is very competitive compared to other open weight models of similar size (median: 2.18s).
Trinity Large Thinking costs $0.23 per 1M input tokens (very competitive, median: $0.60) and $0.88 per 1M output tokens (very competitive, median: $2.20), based on the median across providers serving the model.
Trinity Large Thinking costs $0.23 per 1M input tokens and $0.88 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 $0.40 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Trinity Large Thinking generated 150M output tokens, which is at the higher end compared to other open weight models of similar size (median: 39M).
Yes, Trinity Large Thinking is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Trinity Large Thinking supports text input.
Trinity Large Thinking supports text output.
No, Trinity Large Thinking does not support image input. It can only process text.
No, Trinity Large Thinking is not multimodal. It only supports text input.
Trinity Large Thinking has a context window of 510k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Trinity Large Thinking is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Trinity Large Thinking has 399 billion parameters (13 billion active).
Trinity Large Thinking is a Mixture of Experts (MoE) model with 399 billion total parameters, but only 13 billion active parameters are used during inference.
Trinity Large Thinking is released under the Apache 2.0 license. This license allows commercial use. View license
Trinity Large Thinking achieves a score of 32 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Trinity Large Thinking is available via API through 2 providers. Compare API providers
Trinity Large Thinking is available through 2 API providers. Compare providers