- Updated: April 2, 2026
- 2 min read
Arcee AI Unveils Trinity Large Thinking Model – Features, Pricing & Performance
OpenRouterSearch/ModelsChatRankingsAppsEnterprisePricingDocsSkip to contentOpenRouter/FusionModelsChatRankingsAppsEnterprisePricingDocsArcee AI: Trinity Large Thinkingarcee-ai/trinity-large-thinkingChat Compare Released Apr 1, 2026262,144 context$0.25/M input tokens$0.90/M output tokensTrinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks.It is free in open claw for the first five days. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT–B7Chat Compare Model weightsOverviewPlaygroundProvidersPerformancePricingAppsActivityUptimeQuickstartProviders for Trinity Large ThinkingOpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.Performance for Trinity Large ThinkingCompare different providers across OpenRouterAll locationsSorting API ExampleEffective Pricing for Trinity Large ThinkingActual cost per million tokens across providers over the past hourApps using Trinity Large ThinkingTop public apps this monthRecent activity on Trinity Large ThinkingTotal usage per day on OpenRouterPrompt308MReasoning20.6MCompletion2.21MPrompt tokens measure input size. Reasoning tokens show internal thinking before a response.Completion tokens reflect total output length.Uptime stats for Trinity Large ThinkingUptime stats for Trinity Large Thinking across all providersSample code and API for Trinity Large ThinkingOpenRouter normalizes requests and responses across providers for you.Create API keyOpenRouter supports reasoning-enabled models that can show their step-by-step thinking process.Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model’s internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.In the examples below, the OpenRouter-specific headers are optional.Setting them allows your app to appear on the OpenRouter leaderboards.Using third-party SDKsFor information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.