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Model comparison

o1 vs Trinity-Large-Preview

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
48.1/100
Margin
7.8pts
winning →
55.94/100
0 category wins0 category wins

Public leaderboard positions: o1 #129 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. o1 and Trinity-Large-Preview share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to o1; 6 to Trinity-Large-Preview.

Updated July 21, 2026
Shared results
12
o1 only
4
Trinity-Large-Preview only
6
Comparable categories
0 / 8

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

Confidence note. This is a partial-evidence comparison with 12 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.

o1 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.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for o1 and Trinity-Large-Preview
Categoryo1ΔTrinity-Large-Preview
Knowledgeo175.7MarginNo overlapTrinity-Large-PreviewNot measured
Matho19.3MarginNo overlapTrinity-Large-PreviewNot measured
Inst. Followingo192.2MarginNo overlapTrinity-Large-PreviewNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

Metrico1Trinity-Large-PreviewComparison
Input / output priceUSD per 1M tokenso1$15 input / $60 outputTrinity-Large-Preview$0.25 input / $1 outputTrinity-Large-Preview has the lower combined listed price.
Generation speedtokens per secondo198 tok/sTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokeno132.29 sTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokenso1200KTrinity-Large-Preview512KTrinity-Large-Preview lists the larger context window.

Benchmark Deep Dive

Agentic
Benchmarko1Trinity-Large-PreviewResult
τ²-bench resultsSource 62.6%90.1%Trinity-Large-Preview leads
GDPval-AASource 2.7%Not comparable
GDPval-AASource 554Not comparable
Coding
Benchmarko1Trinity-Large-PreviewResult
AA Coding IndexSource 39.7%Not comparable
AA-SciCodeSource 35.8%36.1%Trinity-Large-Preview leads
Reasoning
Benchmarko1Trinity-Large-PreviewResult
AA-LCRSource 59.3%33.0%o1 leads
CritPtSource 0.3%0.9%Trinity-Large-Preview leads
Knowledge
Benchmarko1Trinity-Large-PreviewResult
MMLUSource 91.8%87.2%o1 leads
GPQASource 75.7%Not comparable
Artificial Analysis Intelligence IndexSource 23.4%24.5%Trinity-Large-Preview leads
AA-GPQA DiamondSource 74.7%75.2%Trinity-Large-Preview leads
AA-HLESource 7.7%14.7%Trinity-Large-Preview leads
AA-Omniscience IndexSource -10.5%-44.2%o1 leads
AA-Omniscience AccuracySource 34.7%22.8%o1 leads
AA-Omniscience Hallucination RateSource 69.3%86.6%o1 leads
MMLU-Pro (Arcee)Source 75.2%Not comparable
GPQA-DSource 63.3%Not comparable
Math
Benchmarko1Trinity-Large-PreviewResult
FrontierMath v2 (Tiers 1-3)Source 9.310%Not comparable
AIME25 (Arcee)Source 24.0%Not comparable
Multimodal
Benchmarko1Trinity-Large-PreviewResult
Design Arena WebsiteSource 1165Not comparable
Inst. Following
Benchmarko1Trinity-Large-PreviewResult
IFEvalSource 92.2%Not comparable
AA-IFBenchSource 70.3%56.3%o1 leads
Frequently Asked Questions (3)

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

o1: $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.

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Last updated: July 21, 2026

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