Model comparison
Trinity-Large-Preview vs Trinity-Large-Thinking
Head-to-head evidence from 17 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Sibling matchup inside the Trinity Large family.
Public leaderboard positions: Trinity-Large-Preview #79 (Estimated); Trinity-Large-Thinking #100 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Trinity-Large-Preview and Trinity-Large-Thinking share 17 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Trinity-Large-Preview; 2 to Trinity-Large-Thinking.
Updated July 21, 2026- Shared results
- 17
- Trinity-Large-Preview only
- 1
- Trinity-Large-Thinking only
- 2
- Comparable categories
- 0 / 8
Benchmark data for Trinity-Large-Preview and Trinity-Large-Thinking is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 17 shared benchmark results across 7 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Trinity-Large-Preview is priced at $0.25 input / $1.00 output per 1M tokens, versus $0.25 input / $0.90 output per 1M tokens for Trinity-Large-Thinking.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Trinity-Large-Preview | Trinity-Large-Thinking | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Trinity-Large-Preview$0.25 input / $1 output | Trinity-Large-Thinking$0.25 input / $0.9 output | Trinity-Large-Thinking has the lower combined listed price. |
| Generation speedtokens per second | Trinity-Large-PreviewNot available | Trinity-Large-ThinkingNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Trinity-Large-PreviewNot available | Trinity-Large-ThinkingNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Trinity-Large-Preview512K | Trinity-Large-Thinking512K | Listed context windows are equal. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Trinity-Large-Preview | Trinity-Large-Thinking | Result |
|---|---|---|---|
| MMLUSource | 87.2% | — | Not comparable |
| MMLU-Pro (Arcee)Source | 75.2% | 83.4% | Trinity-Large-Thinking leads |
| GPQA-DSource | 63.3% | 76.3% | Trinity-Large-Thinking leads |
| Artificial Analysis Intelligence IndexSource | 24.5% | 24.5% | Tie |
| AA-GPQA DiamondSource | 75.2% | 75.2% | Tie |
| AA-HLESource | 14.7% | 14.7% | Tie |
| AA-Omniscience IndexSource | -44.2% | -44.2% | Tie |
| AA-Omniscience AccuracySource | 22.8% | 22.8% | Tie |
| AA-Omniscience Hallucination RateSource | 86.6% | 86.6% | Tie |
Math1 benchmarks
| Benchmark | Trinity-Large-Preview | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | 24.0% | 96.3% | Trinity-Large-Thinking leads |
Multimodal1 benchmarks
| Benchmark | Trinity-Large-Preview | Trinity-Large-Thinking | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1165 | 1165 | Tie |
Inst. Following1 benchmarks
| Benchmark | Trinity-Large-Preview | Trinity-Large-Thinking | Result |
|---|---|---|---|
| AA-IFBenchSource | 56.3% | 56.3% | Tie |
Frequently Asked Questions (3)
Can I compare Trinity-Large-Preview and Trinity-Large-Thinking on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Trinity-Large-Preview and Trinity-Large-Thinking today?
Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Trinity-Large-Thinking: $0.25 input / $0.90 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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