Trinity-Large-Thinking
BenchLM is tracking Trinity-Large-Thinking, 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-Thinking is a open weight model with a 512K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Trinity-Large-Thinking sits inside the Trinity Large family alongside Trinity-Large-Preview. This profile currently has 4 of 193 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
#120Chatbot Arena Performance
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-Thinking stacks up against similar models
Frequently Asked Questions
How does Trinity-Large-Thinking perform overall in AI benchmarks?
Trinity-Large-Thinking 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-Thinking good for knowledge and understanding?
Trinity-Large-Thinking has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Thinking good for coding and programming?
Trinity-Large-Thinking has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Thinking good for mathematics?
Trinity-Large-Thinking has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Thinking open source?
Yes, Trinity-Large-Thinking 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-Thinking?
Trinity-Large-Thinking belongs to the Trinity Large family. Related variants on BenchLM include Trinity-Large-Preview.
Does Trinity-Large-Thinking have full benchmark coverage on BenchLM?
Not yet. Trinity-Large-Thinking currently has 4 published benchmark scores out of the 193 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-Thinking?
Trinity-Large-Thinking has a context window of 512K, which determines how much text it can process in a single interaction.
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