Model comparison
Nova Pro vs Trinity-Large-Preview
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Nova Pro #196 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Nova Pro and Trinity-Large-Preview share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Nova Pro; 7 to Trinity-Large-Preview.
Updated July 21, 2026- Shared results
- 11
- Nova Pro only
- 1
- Trinity-Large-Preview only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Nova Pro and Trinity-Large-Preview is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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 has the larger context window at 512K, compared with 128K for Nova Pro.
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 | Nova Pro | Trinity-Large-Preview | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Nova ProNot available | Trinity-Large-Preview$0.25 input / $1 output | A complete price comparison is not available. |
| Generation speedtokens per second | Nova Pro141 tok/s | Trinity-Large-PreviewNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Nova Pro0.81 s | Trinity-Large-PreviewNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Nova Pro128K | Trinity-Large-Preview512K | Trinity-Large-Preview lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
Coding1 benchmarks
| Benchmark | Nova Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-SciCodeSource | 20.8% | 36.1% | Trinity-Large-Preview leads |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Nova Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 7.7% | 24.5% | Trinity-Large-Preview leads |
| AA-GPQA DiamondSource | 49.9% | 75.2% | Trinity-Large-Preview leads |
| AA-HLESource | 3.4% | 14.7% | Trinity-Large-Preview leads |
| AA-Omniscience IndexSource | -47.6% | -44.2% | Trinity-Large-Preview leads |
| AA-Omniscience AccuracySource | 17.0% | 22.8% | Trinity-Large-Preview leads |
| AA-Omniscience Hallucination RateSource | 77.9% | 86.6% | Nova Pro leads |
| MMLUSource | — | 87.2% | Not comparable |
| MMLU-Pro (Arcee)Source | — | 75.2% | Not comparable |
| GPQA-DSource | — | 63.3% | Not comparable |
Math1 benchmarks
| Benchmark | Nova Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| AIME25 (Arcee)Source | — | 24.0% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Nova Pro | Trinity-Large-Preview | Result |
|---|---|---|---|
| AA-IFBenchSource | 38.1% | 56.3% | Trinity-Large-Preview leads |
Frequently Asked Questions (3)
Can I compare Nova Pro and Trinity-Large-Preview 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 Nova Pro and Trinity-Large-Preview today?
Nova Pro: Pricing unavailable Trinity-Large-Preview: $0.25 input / $1.00 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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