Arcee AI
RankedEnough results for an index.Trinity-Large-Thinking
Trinity-Large-Thinking is a reasoning model from Arcee AI in the Trinity Large family. 12 benchmarks count toward its index, in 5 categories.
IndexAll categories, out of 100.43.5±7.2Median 51.0
CoverageIndex weight that has results.75%
SpeedOutput tokens per second.138/sMedian 67/s
First tokenSeconds to the first output token.0.9 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.25Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.80Median $2.55
ContextMaximum tokens in one request.262KMedian 262K
EloLMArena rating and rank.1340±5 #218Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
arcee-ai/trinity-large-thinking- Max outputMaximum output tokens per request.
- 80K
- Knowledge cutoffLast date of training data.
- —
- ToolsTool calls on OpenRouter.
- Yes
- JSON outputOutput follows a given JSON schema.
- No
- Cache read / 1MUS dollars per 1M cached tokens.
- $0.06
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Run locally
398.64B parameters- 16-bit
- 838.1 GB
- 8-bit
- 445.7 GB
- 4-bit
- 254.8 GB
Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models
Capabilities
Index per category, out of 100.Results
12 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseVals AINo licence statedHistory
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does Trinity-Large-Thinking cost?
- $0.25 per 1M input tokens, $0.80 per 1M output tokens.
- How good is Trinity-Large-Thinking?
- Its index is 43.5 out of 100. That is place 187 of 283 ranked models.
- What is Trinity-Large-Thinking best at?
- Knowledge: 45.5 out of 100, place 166 of 268.
- How fast is Trinity-Large-Thinking?
- 138 output tokens per second, 0.9 s to the first token.
- What is the context window of Trinity-Large-Thinking?
- 262K tokens.
- Is Trinity-Large-Thinking open source?
- Yes. Its weights are published.
- When was Trinity-Large-Thinking released?
- March 2026.
Badge
- HTML
<a href="https://inference360.ai/models/trinity-large-thinking"><img src="https://inference360.ai/badges/trinity-large-thinking.svg" alt="Trinity-Large-Thinking on Inference360: place 187 of 283, index 43.5" height="20"></a>- Markdown
[](https://inference360.ai/models/trinity-large-thinking)