Ar
Trinity Large Thinking
Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities.
- Input
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Free API access for Trinity Large Thinking is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Trinity Large Thinking provider pricing and rate limits for what’s included and any account requirements.
To use Trinity Large Thinking, choose one of the listed Trinity Large Thinking API providers and follow the provider’s account and API-key setup guide. Copy the Trinity Large Thinking model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Trinity Large Thinking accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Trinity Large Thinking documentation for supported file types and request formats.
Trinity Large Thinking has a listed context window of 262K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Trinity Large Thinking may be smaller than the context window and can vary by provider.
Trinity Large Thinking has both reasoning and tool calling listed as supported capabilities. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Trinity Large Thinking yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Trinity Large Thinking on examples from your own task alongside context size and provider limits.