Trinity Large Thinking
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--B7...
Updated 9 h ago · first seen 11 Sept 2026
model_01M294WW1ZCDWSJ9NK046VTKWS
Overview
Identity
Identity block not returned by the API for this entity.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Key facts
- Release date
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
- Openrouter id
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Architecture
- Hugging Face repo
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Capabilities
Modalities
- Modalities
- text
- Input
- text
- Output
- text
Capabilities
Tool calling
Yes
OpenRouter public model & pricing listing · T2
Structured output
No
OpenRouter public model & pricing listing · T2
Reasoning
Yes
OpenRouter public model & pricing listing · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
- Context window
Source:OpenRouter public model & pricing listingT2observed 9 h agomedium
- Max output
Source:OpenRouter public model & pricing listingT2observed 12 h agomedium
Benchmarks9
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
No benchmark results recorded
Providers & Pricing1
All offers in the price terminal →USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Price history
Output price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouterfirst observed $0.8011 Sept 2026
Input price · USD / 1M tokens 1 provider
- OpenRouter
- OpenRouterfirst observed $0.2511 Sept 2026
Timeline13
Full timeline →Trinity Large Thinking: context length changed from 512000 to 262144
Context window512K tokens→262.1K tokensopenrouterTrinity Large Thinking scores 22.73% on Terminal-Bench
artificial_analysisTrinity Large Thinking scores 20.6% on Terminal-Bench
artificial_analysisTrinity Large Thinking scores 0.51% on Terminal-Bench
artificial_analysisTrinity Large Thinking scores 90.06% on τ²-bench
artificial_analysisTrinity Large Thinking scores 56.26% on IFBench
artificial_analysisTrinity Large Thinking scores 40.62% on SciCode
artificial_analysisTrinity Large Thinking scores 15.85% on Humanity's Last Exam
artificial_analysisTrinity Large Thinking scores 75.15% on GPQA
artificial_analysisTrinity Large Thinking scores 10.88 on Artificial Analysis Intelligence Index
artificial_analysisTrinity Large Thinking: context length changed from 262144 to 512000
Context window262.1K tokens→512K tokensartificial_analysisOpenRouter lists Trinity Large Thinking at $0.25 in / $0.8 out per 1M tokens
openrouter
Change history16
Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.
Back to today →Attributes as of 12 Sept 2026 19 claims in force
- Release date
- 1 Apr 2026
- Openness
- open-weights
- Context window
- 262.1K tokens
- Max output
- 80K tokens
- Modalities
- text
- Input modalities
- text
- Output modalities
- text
- Hugging Face repo
- arcee-ai/Trinity-Large-Thinking
- Aa context window
- 512,000
- Aa openness
- open-weights
- Aa median output tokens per second
- 321.9
- Openrouter id
- arcee-ai/trinity-large-thinking
- Openrouter listed at
- 1 Apr 2026
- Reasoning
- Yes
- Structured output
- No
- Supported parameters
- include_reasoning, max_tokens, reasoning, temperature, tool_choice, tools, top_k, top_p
- Tool calling
- Yes
- Weights available
- Yes
Release daterelease_date1
Opennessopenness1
Context windowcontext_length2
Max outputmax_output_tokens1
Modalitiesmodalities1
Input modalitiesmodalities_input1
Output modalitiesmodalities_output1
Hugging Face repohf_repo1
Descriptiondescription1
Aa median output tokens per secondmetric.aa_median_output_tokens_per_second1
Openrouter idopenrouter_id1
Reasoningreasoning1
Structured outputstructured_output1
Supported parameterssupported_parameters1
Tool callingtool_calling1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
15
Source tiers
T215
Freshest observation
9 h ago
Conflicts
None
Source documents 2
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (56/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →