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 23 min ago · first seen 11 Sept 2026
model_01M294WW1ZCDWSJ9NK046VTKWS
- Context
- 512K tokens
- T2 · 23 min ago
- Released
- 1 Apr 2026
- T2 · 2 h ago
Specification
- Release date
- 1 Apr 2026
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Openness
- open-weights
Source:Artificial AnalysisT2observed 23 min agomedium
- Context window
- 512K tokens
Source:Artificial AnalysisT2observed 23 min agomedium
- Max output
- 80K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Input modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Output modalities
- text
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Hugging Face repo
- arcee-ai/Trinity-Large-Thinking
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Aa median output tokens per second
- 321.9
Source:Artificial AnalysisT2observed 23 min agomedium
- Openrouter id
- arcee-ai/trinity-large-thinking
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
- Supported parameters
- include_reasoning, max_tokens, reasoning, temperature, tool_choice, tools, top_k, top_p
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
15
Source tiers
T215
Freshest observation
23 min ago
Conflicts
None
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
- 512K tokens
Source:Artificial AnalysisT2observed 23 min agomedium
- Max output
- 80K tokens
Source:OpenRouter public model & pricing listingT2observed 2 h agomedium
| Benchmark | Score | Metric | Config | Evaluated | Source |
|---|---|---|---|---|---|
| τ²-bench | 90.06% | pass^1 | aa_slug=trinity-large-thinking · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Artificial Analysis Intelligence Index | 10.88 | index | aa_slug=trinity-large-thinking · version=4.3 · estimated=false | — | artificialanalysis.aiT2 |
| GPQA | 75.15% | accuracy | aa_slug=trinity-large-thinking · variant=GPQA Diamond · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Humanity's Last Exam | 15.85% | accuracy | aa_slug=trinity-large-thinking · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| IFBench | 56.26% | accuracy | aa_slug=trinity-large-thinking · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| SciCode | 40.62% | accuracy | aa_slug=trinity-large-thinking · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 22.73% | accuracy | aa_slug=trinity-large-thinking · variant=hard · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 20.6% | accuracy | aa_slug=trinity-large-thinking · variant=v2.1 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
| Terminal-Bench | 0.51% | accuracy | aa_slug=trinity-large-thinking · variant=v4.0 · evaluator=Artificial Analysis · index_version=4.3 | — | artificialanalysis.aiT2 |
Scores are reported as published, with their evaluation configuration (harness, prompting, judge). Results with different configs are not directly comparable — see methodology.
Current prices
| Provider | Input / 1M | Output / 1M | Cached in | Batch in / out | Context | Observed | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterarcee-ai/trinity-large-thinking | $0.25 | $0.80 | $0.06 | — | 262.1K | 28 min ago | openrouter.aiT2 |
USD per 1M tokens as published by each provider (USD). Rows are append-only: every change is kept in the history below.
Available through 1
Price history
Input price · USD / 1M tokens
Output price · USD / 1M tokens
- OpenRouter
No hardware estimate available
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history · Hugging Face repo
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| arcee-ai/Trinity-Large-Thinking | → current | current | OpenRouter public model & pricing listingT2 | medium | deterministic |
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 →
Trinity 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
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Artificial Analysis | artificialanalysis.ai/leaderboards/models | leaderboard | T2· Quality secondary | 23 min ago | 1 |
| OpenRouter public model & pricing listing | openrouter.ai/api/v1/models | catalogue | T2· Quality secondary | 28 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.