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Arcee AI: Trinity Large Thinking

arcee-ai/trinity-large-thinking

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Trinity 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. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7Opens in new tab

This model is optimized for agentic workflows and performs best when reasoning is preserved (aka interleaved thinking). Learn how to preserve reasoning in our docs: https://openrouter.ai/docs/guides/best-practices/reasoning-tokens#preserving-reasoningOpens in new tab

Modalities

In / Out Price

$0.25 / $0.80per 1M

Context

262K

Released

Apr 1, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Benchmark score summary for Arcee AI: Trinity Large Thinking (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisTrinity Large Thinking Intelligence Index10.9
Artificial AnalysisTrinity Large Thinking Coding Index25.8
Artificial AnalysisTrinity Large Thinking Agentic Index1.2
Artificial AnalysisTrinity Large Thinking GPQA Diamond75.2%
Artificial AnalysisTrinity Large Thinking HLE15.8%
Artificial AnalysisTrinity Large Thinking IFBench56.3%
Artificial AnalysisTrinity Large Thinking τ²-Bench Telecom90.1%
Artificial AnalysisTrinity Large Thinking AA-LCR38.0%
Artificial AnalysisTrinity Large Thinking GDPval-AA0.6%
Artificial AnalysisTrinity Large Thinking CritPt0.9%
Artificial AnalysisTrinity Large Thinking SciCode40.6%
Artificial AnalysisTrinity Large Thinking Terminal-Bench Hard22.7%
Artificial AnalysisTrinity Large Thinking AA-Omniscience Accuracy22.5%
Artificial AnalysisTrinity Large Thinking AA-Omniscience Non-Hallucination Rate14.1%
Design ArenaTrinity Large Thinking Models Arena 3D Elo1110
Design ArenaTrinity Large Thinking Models Arena Asciiart Elo1059
Design ArenaTrinity Large Thinking Models Arena Code Categories Elo1132
Design ArenaTrinity Large Thinking Models Arena Data Visualization Elo1113
Design ArenaTrinity Large Thinking Models Arena Game Development Elo1102
Design ArenaTrinity Large Thinking Models Arena SVG Elo1034
Design ArenaTrinity Large Thinking Models Arena UI Component Elo1060
Design ArenaTrinity Large Thinking Models Arena Website Elo1149

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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Frequently asked questions

Trinity 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. Launch video: https://youtu.be/Gc82AXLa0Rg?si=4RLn6WBz33qT--B7Opens in new tab This model is optimized for agentic workflows and performs best when reasoning is preserved (aka interleaved thinking).

Trinity Large Thinking costs $0.25/M input tokens and $0.80/M output tokens, with separate rates for Cache Read at $0.06/M tokens.

Trinity Large Thinking has a 262,144 token context window. It supports up to 80,000 completion tokens.

Yes. Trinity Large Thinking accepts tools and tool_choice for function calling. It does not support response_format, so JSON output is not enforced.

Trinity Large Thinking was released on April 1, 2026.