Trinity-Large-Preview
BenchLM is tracking Trinity-Large-Preview, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
Trinity-Large-Preview is a open weight model with a 512K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Trinity-Large-Preview sits inside the Trinity Large family alongside Trinity-Large-Thinking. This profile currently has 4 of 152 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Ranking Distribution
Category rank across 0 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Trinity-Large-Preview stacks up against similar models
Frequently Asked Questions
How does Trinity-Large-Preview perform overall in AI benchmarks?
Trinity-Large-Preview has 4 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Trinity-Large-Preview good for knowledge and understanding?
Trinity-Large-Preview has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Preview good for mathematics?
Trinity-Large-Preview has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Preview open source?
Yes, Trinity-Large-Preview is an open weight model created by Arcee AI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Trinity-Large-Preview?
Trinity-Large-Preview belongs to the Trinity Large family. Related variants on BenchLM include Trinity-Large-Thinking.
Does Trinity-Large-Preview have full benchmark coverage on BenchLM?
Not yet. Trinity-Large-Preview currently has 4 published benchmark scores out of the 152 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Trinity-Large-Preview?
Trinity-Large-Preview has a context window of 512K, which determines how much text it can process in a single interaction.
Related Resources
Don't miss the next GPT moment
Which models moved up, what’s new, and what it costs. One email a week, 3-min read.
Free. One email per week.