Arcee AI
availableShows if the model has enough results for an index.Trinity-Large-Thinking
Trinity-Large-Thinking is a reasoning model from Arcee AI in the Trinity Large family. 17 benchmarks count toward its score, in 5 categories.
IndexOverall score out of 100.42.7 ±6.4
CoverageShare of the index weight with results.75%
SpeedOutput tokens per second.87/s
Input / 1MUS dollars per 1M input tokens.$0.25
Output / 1MUS dollars per 1M output tokens.$0.8
ContextMaximum tokens in one request.262K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
17 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| AIME25 first-party comparison snapshot | Math | 96.3% | — | — | — | Arcee AI |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 90.1% | 63.5 | — | — | Victor Barres et al. |
| MMLU-Pro first-party comparison snapshot | Knowledge | 83.4% | 51.9 | — | — | Arcee AI |
| GPQA Diamond | Knowledge | 76.3% | 48.7 | — | — | David Rein et al. |
| Artificial Analysis GPQA Diamond | Knowledge | 75.2% | 45.6 | — | — | Artificial Analysis |
| SWE-bench Verified (mini-swe-agent-v2) | Coding | 63.2% | 48.2 | — | — | Arcee AI |
| Artificial Analysis IFBench | Instruction | 56.3% | 46.2 | — | — | Artificial Analysis |
| Artificial Analysis SciCode | Coding | 40.6% | 49.2 | — | — | Artificial Analysis |
| Artificial Analysis Long Context Reasoning | Reasoning | 38.0% | 34.6 | — | — | Artificial Analysis |
| Gert Labs Composite Game Benchmark | Agentic | 32.5% | 41.5 | — | — | Gert Labs |
| Artificial Analysis Coding Index | Coding | 25.8% | 37.1 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 22.5% | 41.7 | — | — | Artificial Analysis |
| Terminal-Bench 2.0 | Agentic | 18.0% | 35.5 | — | 4 Jun 2026 | Vals AI |
| Artificial Analysis Humanity's Last Exam | Knowledge | 15.8% | 41.7 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 10.8% | 35.9 | — | — | Artificial Analysis |
| Artificial Analysis Agentic Index | Agentic | 1.2% | 38.1 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 0.9% | 40.3 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 0.0% | 35.6 | — | — | Artificial Analysis |
17 benchmarks count, from 17 of 18 results. A grey row does not count. Too few models took that benchmark.