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Model comparison

o1-preview vs Trinity-Large-Preview

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

49.11/100
Margin
6.8pts
winning →
55.94/100
0 category wins0 category wins

Public leaderboard positions: o1-preview #123 (Supported); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1-preview and Trinity-Large-Preview share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to o1-preview; 17 to Trinity-Large-Preview.

Updated July 21, 2026
Shared results
1
o1-preview only
1
Trinity-Large-Preview only
17
Comparable categories
0 / 8

Benchmark data for o1-preview and Trinity-Large-Preview is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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.

o1-preview is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, compared with 200K for o1-preview.

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.

Metrico1-previewTrinity-Large-PreviewComparison
Input / output priceUSD per 1M tokenso1-preview$15 input / $60 outputTrinity-Large-Preview$0.25 input / $1 outputTrinity-Large-Preview has the lower combined listed price.
Generation speedtokens per secondo1-previewNot availableTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno1-previewNot availableTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1-preview200KTrinity-Large-Preview512KTrinity-Large-Preview lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1-previewTrinity-Large-PreviewResult
τ²-bench resultsSource 90.1%Not comparable
GDPval-AASource 2.7%Not comparable
GDPval-AASource 554Not comparable
Coding
Benchmarko1-previewTrinity-Large-PreviewResult
AA Coding IndexSource 34.0%Not comparable
AA-SciCodeSource 36.1%Not comparable
Reasoning
Benchmarko1-previewTrinity-Large-PreviewResult
AA-LCRSource 33.0%Not comparable
CritPtSource 0.9%Not comparable
Knowledge
Benchmarko1-previewTrinity-Large-PreviewResult
Artificial Analysis Intelligence IndexSource 17.0%24.5%Trinity-Large-Preview leads
MMLUSource 87.2%Not comparable
MMLU-Pro (Arcee)Source 75.2%Not comparable
GPQA-DSource 63.3%Not comparable
AA-GPQA DiamondSource 75.2%Not comparable
AA-HLESource 14.7%Not comparable
AA-Omniscience IndexSource -44.2%Not comparable
AA-Omniscience AccuracySource 22.8%Not comparable
AA-Omniscience Hallucination RateSource 86.6%Not comparable
Math
Benchmarko1-previewTrinity-Large-PreviewResult
AIME25 (Arcee)Source 24.0%Not comparable
Multimodal
Benchmarko1-previewTrinity-Large-PreviewResult
Design Arena WebsiteSource 1165Not comparable
Inst. Following
Benchmarko1-previewTrinity-Large-PreviewResult
AA-IFBenchSource 56.3%Not comparable
Frequently Asked Questions (3)

Can I compare o1-preview 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 o1-preview and Trinity-Large-Preview today?

o1-preview: $15.00 input / $60.00 output per 1M tokens 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.

Related Comparisons

Last updated: July 21, 2026

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