Model profile
Trinity-Large-Preview
Evidence coverage
18 of 323 tracked benchmarks are published. 4 are verified and 14 provisional. 7 of 8 categories are measured.
- Published / tracked
- 18 / 323
- Verified
- 4
- Provisional
- 14
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic3 benchmarksReported
- Coding1 benchmarkReported
- Reasoning2 benchmarksReported
- Knowledge9 benchmarksMixed evidence
- Math1 benchmarkVerified
- Multilingual0 benchmarksNot measured
- Multimodal1 benchmarkReported
- Inst. Following1 benchmarkReported
Trinity-Large-Preview ranks #79 out of 200 models on the public leaderboard with an overall score of 55.94/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
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 18 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 55.3–56.58
- Claude Haiku 4.5AnthropicCompare#7756.58Claude Haiku 4.5 is #77 with a score of 56.58.
- Qwen3 235B 2507AlibabaCompare#7856.02Qwen3 235B 2507 is #78 with a score of 56.02.
- Trinity-Large-PreviewCurrent modelArcee AI#7955.94Trinity-Large-Preview is #79 with a score of 55.94.
- Hy3TencentCompare#8055.64Hy3 is #80 with a score of 55.64.
- DeepSeek V4 Pro (High)DeepSeekCompare#8155.47DeepSeek V4 Pro (High) is #81 with a score of 55.47.
- DeepSeek V3.2DeepSeekCompare#8255.4DeepSeek V3.2 is #82 with a score of 55.4.
- Gemini 3.1 ProGoogleCompare#8355.3Gemini 3.1 Pro is #83 with a score of 55.3.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%3 benchmarksReported | Score pending | Not ranked | Not available | 22% | 3 benchmarks | Reported |
| CodingWeight 20%1 benchmarkReported | Score pending | Not ranked | Not available | 20% | 1 benchmark | Reported |
| ReasoningWeight 17%2 benchmarksReported | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeWeight 12%9 benchmarksMixed sources | Score pending | Not ranked | Not available | 12% | 9 benchmarks | Mixed sources |
| MathWeight 5%1 benchmarkVerified | Score pending | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%1 benchmarkReported | Score pending | Not ranked | Not available | 12% | 1 benchmark | Reported |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1379 | ±4.3 | 30,061 |
| Coding | 1442 | ±7.5 | 7,631 |
| Math | 1361 | ±14.2 | 1,888 |
| Instruction Following | 1371 | ±6.9 | 9,175 |
| Creative Writing | 1351 | ±9.4 | 4,571 |
| Multi-turn | 1378 | ±8.8 | 5,367 |
| Hard Prompts | 1403 | ±5.4 | 18,565 |
| Hard Prompts (English) | 1418 | ±7.0 | 9,192 |
| Longer Query | 1393 | ±6.7 | 10,837 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic3 benchmarks
τ²-Bench Tool-Agent-User Evaluation
GDPval-AA normalized
Coding1 benchmark
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge9 benchmarks
Massive Multitask Language Understanding
MMLU-Pro first-party comparison snapshot
GPQA Diamond
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math1 benchmark
AIME25 first-party comparison snapshot
Multimodal1 benchmark
Design Arena Website Elo
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Trinity-Large-Preview perform overall in AI benchmarks?
Trinity-Large-Preview has 18 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 coding and programming?
Trinity-Large-Preview has visible benchmark coverage in coding and programming, 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 good for reasoning and logic?
Trinity-Large-Preview has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Preview good for agentic tool use and computer tasks?
Trinity-Large-Preview has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Preview good for multimodal and grounded tasks?
Trinity-Large-Preview has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is Trinity-Large-Preview good for instruction following?
Trinity-Large-Preview has visible benchmark coverage in instruction following, 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 18 published benchmark scores out of the 323 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 published context window of 512K, which determines how much text it can process in a single interaction.
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